# US 12,191,926 B2 · Methods and systems for detection in an industrial internet of things data collection environment with noise detection and system response for vibrating components > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,191,926 B2 - Document ID: US12191926B2 - Status: Granted - Kind: B2 - Application number: 16/151,191 - Filed: 2018-10-03 - Published: 2019-01-31 - Granted: 2025-01-07 - Earliest claimed: 2016-05-09 - Assignees: Strong Force IOT Portfolio 2016, LLC - Applicants: Strong Force IoT Portfolio 2016, LLC - Inventors: Charles Howard Cella; Gerald William Duffy, Jr.; Jeffrey P. McGuckin; Mehul Desai - Web page: https://patentgrep.com/patent/US12191926B2 ## CPC - G05B 19/4185: {characterised by the network communication} - B62D 15/0215: {by measuring on the steering column} - G01M 13/028: Acoustic or vibration analysis - G01M 13/04: Bearings - G01M 13/045: Acoustic or vibration analysis - G05B 13/028: {using expert systems only} - G05B 19/4183: {characterised by data acquisition, e.g. workpiece identification} - G05B 19/4184: {characterised by fault tolerance, reliability of production system} - G05B 19/41845: {characterised by system universality, reconfigurability, modularity} - G05B 19/41865: {characterised by job scheduling, process planning, material flow} - G05B 19/41875: {characterised by quality surveillance of production} - G05B 23/0221: {Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods} - G05B 23/0229: {knowledge based, e.g. expert systems; genetic algorithms} - G05B 23/024: {Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks} - G05B 23/0264: {Control of logging system, e.g. decision on which data to store; time-stamping measurements} - G05B 23/0283: {Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] (preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06)} - G05B 23/0286: {Modifications to the monitored process, e.g. stopping operation or adapting control} - G05B 23/0289: {Reconfiguration to prevent failure, e.g. usually as a reaction to incipient failure detection} - G05B 23/0291: {Switching into safety or degraded mode, e.g. protection and supervision after failure} - G05B 23/0294: {Optimizing process, e.g. process efficiency, product quality} - G05B 23/0297: {Reconfiguration of monitoring system, e.g. use of virtual sensors; change monitoring method as a response to monitoring results} - G06F 3/0608: {Saving storage space on storage systems} - G06F 3/0619: {in relation to data integrity, e.g. data losses, bit errors} - G06F 3/0635: {by changing the path, e.g. traffic rerouting, path reconfiguration} - G06F 3/067: {Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]} - G06F 16/2477: {Temporal data queries} - G06F 18/2178: {based on feedback of a supervisor} - G06N 3/006: based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO] - G06N 3/02: Neural networks - G06N 3/044: Recurrent networks, e.g. Hopfield networks - G06N 3/045: Combinations of networks - G06N 3/047: Probabilistic or stochastic networks - G06N 3/0499: Feedforward networks - G06N 3/084: Backpropagation, e.g. using gradient descent - G06N 3/088: Non-supervised learning, e.g. competitive learning - G06N 5/046: Forward inferencing; Production systems - G06N 7/01: Probabilistic graphical models, e.g. probabilistic networks - G06N 20/00: Machine learning - G06Q 10/04: Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) - G06Q 10/0639: Performance analysis of employees; Performance analysis of enterprise or organisation operations - G06Q 30/02: Marketing; Price estimation or determination; Fundraising - G06Q 30/0278: {Product appraisal} - G06Q 30/06: Buying, selling or leasing transactions - G06Q 50/00: Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism (healthcare informatics G16H) - G06V 10/7784: {based on feedback from supervisors} - G06V 10/82: using neural networks - G16Z 99/00: Subject matter not provided for in other main groups of this subclass - H02M 1/12: Arrangements for reducing harmonics from AC input or output - H03M 1/12: Analogue/digital converters ({H03M1/001 – } H03M1/10 take precedence) - H04B 17/23: Indication means, e.g. displays, alarms, audible means - H04B 17/26: using historical data, averaging values or statistics - H04B 17/29: Performance testing - H04B 17/309: Measuring or estimating channel quality parameters - H04B 17/318: Received signal strength - H04B 17/345: Interference values ({signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]} H04B17/336) - H04L 1/0002: {by adapting the transmission rate} - H04L 1/0041: {Arrangements at the transmitter end} - H04L 1/18: Automatic repetition systems, e.g. Van Duuren systems - H04L 1/1874: {Buffer management} - H04L 67/1097: for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS] - H04L 67/12: specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks - H04W 4/38: for collecting sensor information - H04W 4/70: Services for machine-to-machine communication [M2M] or machine type communication [MTC] - B62D 5/0463: {calculating assisting torque from the motor based on driver input} - F01D 21/003: {Arrangements for testing or measuring (for measuring vibrations G01H)} - F01D 21/12: responsive to temperature - F01D 21/14: responsive to other specific conditions - G05B 19/042: using digital processors (G05B19/05 takes precedence) - G05B 23/02: Electric testing or monitoring - G05B 23/0208: {characterized by the configuration of the monitoring system} - G05B 2219/32287: Medical, chemical, biological laboratory - G05B 2219/35001: Data input, data handling, programming, monitoring of nc - G05B 2219/37337: Noise, acoustic emission, sound - G05B 2219/37351: Detect vibration, ultrasound - G05B 2219/37434: Measuring vibration of machine or workpiece or tool - G05B 2219/37537: Virtual sensor - G05B 2219/40115: Translate goal to task program, use of expert system - G05B 2219/45004: Mining - G05B 2219/45129: Boring, drilling - G06F 17/18: for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} - G06F 18/21: Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation - G06F 18/217: {Validation; Performance evaluation; Active pattern learning techniques} - G06F 18/25: Fusion techniques - G06N 3/126: Evolutionary algorithms, e.g. genetic algorithms or genetic programming - H04B 17/40: of relay systems - H04L 1/0009: {by adapting the channel coding (H04L1/1812 takes precedence)} - H04L 5/0064: {Rate requirement of the data, e.g. scalable bandwidth, data priority} - H04L 67/306: User profiles - Y02P 80/10: Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier - Y02P 90/02: Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS] - Y02P 90/80: Management or planning - Y04S 50/00: Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies - Y04S 50/12: Billing, invoicing, buying or selling transactions or other related activities, e.g. cost or usage evaluation - Y10S 707/99939: Privileged access - G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G) - B62D: MOTOR VEHICLES; TRAILERS (steering, or guiding on a desired track, of agricultural machines or implements A01B69/00; wheels, castors, axles, increasing wheel adhesion B60B; vehicle tyres, tyre inflation or tyre changing B60C; connections between vehicles of a train or the like B60D; vehicles for use on rail and road, amphibious or convertible vehicles B60F; suspension arrangements B60G; heating, cooling, ventilating or other air treating devices B60H; windows, windscreens, non-fixed roofs, doors or similar devices, protective coverings for vehicles not in use B60J; propulsion plant arrangements, auxiliary drives, transmissions, controls, instrumentation or dashboards B60K; electric equipment or propulsion of electrically-propelled vehicles B60L; power supply for electrically-propelled vehicles B60M; passenger accommodation not otherwise provided for B60N; adaptations for load transportation or to carry special loads or objects B60P; arrangement of signalling or lighting devices, the mounting or supporting thereof or circuits therefor, for vehicles in general B60Q; vehicles, vehicle fittings or vehicle parts not otherwise provided for B60R; servicing, cleaning, repairing, supporting, lifting, or manoeuvring, not otherwise provided for, B60S; brake arrangements, brake control systems or parts thereof B60T; air-cushion vehicles B60V; motor-cycles, accessories therefor B62J, B62K; testing of vehicles G01M) - G01M: TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G16Z: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR - H02M: APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF (transformers H01F; dynamo-electric converters H02K47/00; controlling transformers, reactors or choke coils, control or regulation of electric motors, generators or dynamo-electric converters H02P) - H03M: CODING; DECODING; CODE CONVERSION IN GENERAL (using fluidic means F15C4/00; optical analogue/digital converters G02F7/00; coding, decoding or code conversion, specially adapted for particular applications, see the relevant subclasses, e.g. G01D, G01R, G06F, G06T, G09G, G10L, G11B, G11C, H04B, H04L, H04M, H04N; ciphering or deciphering for cryptography or other purposes involving the need for secrecy G09C) - H04B: TRANSMISSION - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) - F01D: NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES (machines or engines for liquids F03; non-positive displacement pumps F04D) - Y02P: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS - Y04S: SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS - Y10S: TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS ## Abstract Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to an industrial component vibrationally coupled to a second industrial component in the industrial environment; a data storage structured to store a plurality of stored system response patterns; a data acquisition circuit; a data analysis circuit structured to: determine a measured noise pattern for the at least one industrial component; compare the measured noise pattern to the plurality of stored system response patterns to determine an identified noise pattern; and a response circuit structured to modify data collection from at least one input channel connected to data collection points operationally coupled to the second industrial component in response to the identified noise pattern. ## Claims ### Claim 1 A monitoring system for data collection in an industrial environment, the system comprising: a data collector structured to collect data and communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to at least one industrial component, the at least one industrial component vibrating at least a second industrial component in the industrial environment, each of the at least one industrial component and the at least the second industrial component being a distinct, physically separate, independently-operable machine capable of independently producing vibration, wherein each of the at least one industrial component and the at least the second industrial component includes at least one of: a fan, a device having a crosspoint switch, a pump, a compressor, an air conditioning unit, a mixer, an agitator, a motor, or an engine; a data storage structured to store a plurality of system response patterns associated with sound detection during operation of the at least one industrial component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data of the at least one industrial component when vibrating the at least the second industrial component, each of the plurality of detection values corresponding to at least one of the plurality of input channels; a data analysis circuit structured to: analyze the detection values; determine a measured sound pattern acquired from the at least one industrial component based on the detection values; and compare the measured sound pattern to the plurality of system response patterns to determine an identified sound pattern corresponding to the at least the second industrial component that was vibrated by the at least one industrial component; and a response circuit structured to: in response to the identified sound pattern for the at least the second industrial component: modify data collection from at least one input channel connected to other data collection points operationally coupled to the at least the second industrial component; and perform an action comprising at least one of: removing or re-tasking under-utilized equipment based on one or more of learned received output data patterns of the collected data and a state of the at least the second industrial component; triggering at least one of an alert of a failure, an imminent failure, or a maintenance event; shutting down a piece of equipment or a component; initiating maintenance of the piece of equipment or the component; recommending deployment of a field technician; recommending a vibration absorption/dampening device; modifying a process to utilize backup equipment; modifying a process to utilize a backup component; modifying a process to preserve products; modifying a process to preserve reactants; generating or modifying a maintenance schedule; coupling the identified sound pattern with a duty cycle of at least one of: the equipment, RPM, flow rate, pressure, or temperature to obtain a status of at least one of the equipment or the component and generate a report; matching the identified sound pattern to a condition when a machine requires maintenance; or updating the plurality of system response patterns if a changed parameter resulted in a new sound pattern, or if a predicted outcome or state did not occur in an absence of mitigation. ### Claim 2 (depends on 1) The system of claim 1, wherein the response circuit is further structured to, as at least part of the modifying data collection, rebalance loads of the at least the second industrial component in response to the identified sound pattern. ### Claim 3 (depends on 2) The system of claim 2, wherein the rebalancing of loads achieves at least one of: an extended life of the at least the second industrial component, an improved probability of success of a process of the at least the second industrial component, or facilitating maintenance on the at least the second industrial component. ### Claim 4 (depends on 1) The system of claim 1, wherein the response circuit is further structured to, as at least part of the modifying data collection, adjust a process of the at least the second industrial component in response to the identified sound pattern. ### Claim 5 (depends on 4) The system of claim 4, wherein the process is at least one of: a life cycle process, a duty cycle process, an operational process, a time-driven process, or an event-driven process. ### Claim 6 (depends on 1) The system of claim 1, wherein the response circuit is further structured to, as at least part of the modifying data collection, adjust an operating parameter of the at least the second industrial component in response to the identified sound pattern. ### Claim 7 (depends on 1) The system of claim 1, wherein the data analysis circuit is further structured to remove a background sound from the plurality of detection values to determine the measured sound pattern. ### Claim 8 A computer-implemented method for data collection in an industrial environment, the method comprising: continuously collecting data from a plurality of input channels of a data collector that are communicatively coupled to data collection points of at least one industrial component vibrating at least a second industrial component in the industrial environment, each of the at least one industrial component and the at least the second industrial component being respectively capable of independently producing vibration, the at least one industrial component and the at least the second industrial component being physically separated from each other, wherein each of the at least one industrial component and the at least the second industrial component includes at least one of: a fan, a device having a crosspoint switch, a pump, a compressor, an air conditioning unit, a mixer, an agitator, a motor, or an engine; while continuously collecting the data from the plurality of input channels: storing a plurality of system response patterns in a data storage associated with sound detection during operation of the at least one industrial component; interpreting a plurality of detection values from the collected data of the at least one industrial component when vibrating the at least the second industrial component, each of the plurality of detection values corresponding to at least one of the plurality of input channels; determining a measured sound pattern for the at least one industrial component in response to the plurality of detection values; comparing the measured sound pattern to the plurality of system response patterns to determine an identified sound pattern corresponding to the at least the second industrial component that was vibrated by the at least one industrial component; and modifying data collection from at least one input channel connected to other data collection points operationally coupled to the at least the second industrial component in response to the identified sound pattern for the at least the second industrial component; and performing an action comprising at least one of: removing or re-tasking under-utilized equipment based on one or more of learned received output data patterns of the collected data and a state of the at least the second industrial component; triggering at least one of an alert of a failure, an imminent failure, or a maintenance event; shutting down a piece of equipment or a component; initiating maintenance of the piece of equipment or the component; recommending deployment of a field technician; recommending a vibration absorption/dampening device; modifying a process to utilize backup equipment; modifying a process to utilize a backup component; modifying a process to preserve products; modifying a process to preserve reactants; generating or modifying a maintenance schedule; coupling the identified sound pattern with a duty cycle of at least one of: the equipment, RPM, flow rate, pressure, or temperature to obtain a status of at least one of the equipment or the component and generate a report; matching the identified sound pattern to a condition when a machine requires maintenance; or updating the plurality of system response patterns if a changed parameter resulted in a new sound pattern, or if a predicted outcome or state did not occur in an absence of mitigation. ### Claim 9 (depends on 8) The method of claim 8, further comprising rebalancing loads of the at least the second industrial component in response to the identified sound pattern. ### Claim 10 (depends on 9) The method of claim 9, wherein the rebalancing of loads achieves at least one of: an extended life of the at least the second industrial component, improved probability of success of a process of the at least the second industrial component, or facilitating maintenance on the at least the second industrial component. ### Claim 11 (depends on 8) The method of claim 8, further comprising adjusting a process of the at least the second industrial component in response to the identified sound pattern. ### Claim 12 (depends on 11) The method of claim 11, wherein the process is at least one of: a life cycle process, a duty cycle process, operational process, a time-driven process, or an event-driven process. ### Claim 13 (depends on 8) The method of claim 8, further comprising adjusting an operating parameter of the at least the second industrial component in response to the identified sound pattern. ### Claim 14 (depends on 8) The method of claim 8, wherein the determining the measured sound pattern further comprises removing a background sound from the plurality of detection values. ### Claim 15 An apparatus for monitoring data collection in an industrial environment, the apparatus comprising: a data collector structured to collect data and communicatively coupled to a plurality of input channels connected to data collection points on at least one industrial component, the at least one industrial component vibrating at least a second industrial component in the industrial environment, each of the at least one industrial component and the at least the second industrial component being an independently-operable machine capable of independently producing vibration, the at least one industrial component and the at least the second industrial component being physically separate from one another on a same floor or platform, wherein each of the at least one industrial component and the at least the second industrial component includes at least one of: a fan, a device having a crosspoint switch, a pump, a compressor, an air conditioning unit, a mixer, an agitator, a motor, or an engine; a data storage structured to store a plurality of system response patterns associated with sound detection during operation of the at least one industrial component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data of the at least one industrial component when vibrating the at least the second industrial component, each of the plurality of detection values corresponding to at least one of the plurality of input channels; a data analysis circuit structured to: determine a measured sound pattern for the at least one industrial component in response to the detection values; and compare the measured sound pattern to the plurality of system response patterns to determine an identified sound pattern that corresponds with the at least the second industrial component that was vibrated by the at least one industrial component; and a response circuit structured to: in response to the identified sound pattern for the at least the second industrial component: modify data collection from at least one input channel connected to other data collection points operationally coupled to the at least the second industrial component; and perform an action comprising at least one of: removing or re-tasking under-utilized equipment based on one or more of learned received output data patterns of the collected data and a state of the at least the second industrial component; triggering at least one of an alert of a failure, an imminent failure, or a maintenance event; shutting down a piece of equipment or a component; initiating maintenance of the piece of equipment or the component; recommending deployment of a field technician; recommending a vibration absorption/dampening device; modifying a process to utilize backup equipment; modifying a process to utilize a backup component; modifying a process to preserve products; modifying a process to preserve reactants; generating or modifying a maintenance schedule; coupling the identified sound pattern with a duty cycle of at least one of: the equipment, RPM, flow rate, pressure, or temperature to obtain a status of at least one of the equipment or the component and generate a report; matching the identified sound pattern to a condition when a machine requires maintenance; or updating the plurality of system response patterns if a changed parameter resulted in a new sound pattern, or if a predicted outcome or state did not occur in an absence of mitigation. ### Claim 16 (depends on 15) The apparatus of claim 15, wherein the response circuit is further structured to, as at least part of the modifying data collection, rebalance loads of the at least the second industrial component in response to the identified sound pattern. ### Claim 17 (depends on 16) The apparatus of claim 16, wherein the rebalancing of loads achieves at least one of: an extended life of the at least the second industrial component, an improved probability of success of a process of the at least the second industrial component, or facilitating maintenance on the at least the second industrial component. ### Claim 18 (depends on 15) The apparatus of claim 15, wherein the response circuit is further structured to, as at least part of the modifying data collection, adjust a process of the at least the second industrial component in response to the identified sound pattern. ### Claim 19 (depends on 18) The apparatus of claim 18, wherein the process is at least one of: a life cycle process, a duty cycle process, an operational process, a time-driven process, or an event-driven process. ### Claim 20 (depends on 15) The apparatus of claim 15, wherein the response circuit is further structured to, as at least part of the modifying data collection, adjust an operating parameter of the at least the second industrial component in response to the identified sound pattern. ### Claim 21 (depends on 1) The system of claim 1, wherein the modifying data collection further comprises at least one of: adjusting a weighting of a machine learning data analysis circuit based on the learned received output data patterns of the collected data or the state of the at least the second industrial component; collecting more or fewer data points from one or more members of at least one subset of a plurality of sensors of the other data collection points based on the learned received output data patterns or the state; changing a data storage technique for the collected data based on the learned received output data patterns or the state; changing a data presentation mode or manner based on the learned received output data patterns or the state; applying one or more filters to the collected data; identifying a new data collection band circuit based on one or more of the learned received output data patterns or the state; or adjusting at least one of weights or biases of the machine learning data analysis circuit in response to an accuracy of a prediction of an anticipated state by the machine learning data analysis circuit, or in response to an accuracy of a classification of a state by the machine learning data analysis circuit. ### Claim 22 (depends on 21) The system of claim 21, wherein the action comprises at least one of: the removing or re-tasking under-utilized equipment based on one or more of the learned received output data patterns and the state; the triggering at least one of an alert of a failure, an imminent failure, or a maintenance event; the shutting down a piece of equipment or a component; the initiating maintenance of the piece of equipment or the component; the recommending deployment of a field technician; the recommending a vibration absorption/dampening device; the modifying a process to utilize backup equipment; the modifying a process to utilize a backup component; the modifying a process to preserve products; or the modifying a process to preserve reactants. ### Claim 23 (depends on 1) The system of claim 1, wherein the action comprises the triggering at least one of an alert of a failure, an imminent failure, or a maintenance event. ### Claim 24 (depends on 1) The system of claim 1, wherein the plurality of system response patterns respectively correspond to associated states of one or more industrial components. ### Claim 25 (depends on 1) The system of claim 1, wherein the identified sound pattern corresponds to a state of the second industrial component and the response circuit performs the action in response to the state.