# US 12,182,743 B2 · System and method for prognostic analytics of an asset > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,182,743 B2 - Document ID: US12182743B2 - Status: Granted - Kind: B2 - Application number: 18/305,961 - Filed: 2023-04-24 - Published: 2023-10-19 - Granted: 2024-12-31 - Earliest claimed: 2020-01-24 - Assignees: General Electric Company - Applicants: General Electric Company - Inventors: Andrew Todd Lehmann - Web page: https://patentgrep.com/patent/US12182743B2 ## CPC - G06Q 10/06313: {Resource planning in a project environment} - G06Q 10/06375: {Prediction of business process outcome or impact based on a proposed change} - G06Q 10/06395: {Quality analysis or management} - 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 ## Abstract There are provided systems and methods for prognostic analytics of an asset. For example, there is provided a system for monitoring a reliability of a component of an asset. The system includes a processor and a memory comprising instructions that, when executed by the processor, cause it to perform certain operations. These operations may include receiving input data, which can include performance data relating to the component, configuration data relating to the component, and statistical data relating to a plurality of assets. The operations can further include providing a pre-emptive recommendation for the component based on the input data. ## Claims ### Claim 1 A method for monitoring a reliability of a fleet of assets, the method comprising: providing a processor being configured as an application-specific computing device when data being received from the fleet of assets is analyzed, the processor including a forecast module that includes application specific instructions that are utilized for the analysis of the data being received from the fleet of assets; establishing, via the processor, a communicative coupling between a system configured for monitoring the fleet of assets and a fleet source server configured to receive an engine tracking database system (ETDS) data feed, wherein the data feed comprises input data including: (i) performance data relating to a component; (ii) configuration data relating to the component; (iii) statistical data relating to a plurality of assets; and providing, via the processor, a pre-emptive recommendation for the component based on the input data; wherein the monitoring system is selectively configurable to operate in any of: a single component mode, a sub-fleet mode, or a fleet mode; wherein, in the single component mode, the system is configured to monitor a reliability of a single component, within the fleet of assets; wherein, in the sub-fleet mode, the system is configured to monitor a reliability of a subset of assets of the fleet of assets; and wherein, in the fleet mode, the system is configured to monitor a reliability of the fleet of assets. ### Claim 2 (depends on 1) The method of claim 1, wherein the pre-emptive recommendation includes a list of subcomponents for which replacement is suggested. ### Claim 3 (depends on 1) The method of claim 1, wherein in the fleet mode, the pre-emptive recommendation includes an indication of which asset from the fleet of assets is best suited for deployment. ### Claim 4 (depends on 1) The method of claim 1, wherein the statistical data include a Weibull distribution. ### Claim 5 (depends on 1) The method of claim 1, wherein the statistical data include probabilistic models. ### Claim 6 (depends on 1) The method of claim 1, wherein the statistical data include trend analytics. ### Claim 7 (depends on 1) The method of claim 1, wherein the input data include engine build configuration. ### Claim 8 (depends on 1) The method of claim 1, wherein the input data include at least one metric comprising a ratio of total accumulated cycles over engine flight hours (TAC/EFH). ### Claim 9 (depends on 1) The method of claim 1, wherein the input data includes an allowable fallout risk. ### Claim 10 A method for monitoring a reliability of a fleet of assets, the method comprising: providing a processor being configured as an application-specific computing device when data being received from the fleet of assets is analyzed, the processor including a forecast module that includes application specific instructions that are utilized for the analysis of the data being received from the fleet of assets; establishing, via the processor, a communicative coupling between a system configured for monitoring the fleet of assets and a fleet source server configured to receive an engine tracking database system (ETDS) data feed, wherein the data feed comprises input data including: (i) performance data relating to a set of components from assets in a subset of the fleet of assets; (ii) configuration data relating to the set of components; (iii) statistical data relating to the fleet of assets; providing, via the processor, a pre-emptive recommendation for the component based on the input data; wherein the monitoring system is selectively configurable to operate in any of: a single component mode, a sub-fleet mode, or a fleet mode; wherein, in the single component mode, the system is configured to monitor a reliability of a single component, within the fleet of assets; wherein, in the sub-fleet mode, the system is configured to monitor a reliability of a subset of assets of the fleet of assets; and wherein, in the fleet mode, the system is configured to monitor a reliability of the fleet of assets. ### Claim 11 (depends on 10) The method of claim 10, wherein in the fleet mode, the pre-emptive recommendation includes an indication of which asset from the fleet of assets is best suited for deployment. ### Claim 12 (depends on 10) The method of claim 10, the statistical data include a Weibull distribution. ### Claim 13 (depends on 10) The method of claim 10, wherein the statistical data include probabilistic models. ### Claim 14 (depends on 10) The method of claim 10, wherein the statistical data include trend analytics. ### Claim 15 (depends on 10) The method of claim 10, wherein the pre-emptive recommendation includes indicating whether a group of engines may successfully complete a deployment of specified duration. ### Claim 16 (depends on 10) The method of claim 10, wherein the input data further includes a duration of employment. ### Claim 17 A non-transitory computer-readable medium including instructions that, when executed by a processor being configured as an application-specific computing device when data being received from a fleet of assets is analyzed, cause the processor to: establish a communicative coupling between a system configured for monitoring the fleet of assets and a fleet source server configured to receive an engine tracking database system (ETDS) data feed, wherein the processor includes a forecast module that includes application specific instructions that are utilized for the analysis of the data being received from the fleet of assets, and wherein the data feed comprises input data including: (i) performance data relating to a component; (ii) configuration data relating to the component; (iii) statistical data relating to a plurality of assets; and provide a pre-emptive recommendation for the component based on the input data; wherein the monitoring system is selectively configurable to operate in any of: a single component mode, a sub-fleet mode, or a fleet mode; wherein, in the single component mode, the system is configured to monitor a reliability of a single component, within the fleet of assets; wherein, in the sub-fleet mode, the system is configured to monitor a reliability of a subset of assets of the fleet of assets; and wherein, in the fleet mode, the system is configured to monitor a reliability of the fleet of assets. ### Claim 18 (depends on 17) The non-transitory computer-readable medium of claim 17, wherein the memory further causes the processor to perform operations yielding preemptive single-engine work scope recommendations, sub-fleet work scope recommendations, and fleet work scope recommendations. ### Claim 19 (depends on 17) The non-transitory computer-readable medium of claim 17, wherein in the fleet mode, the pre-emptive recommendation includes an indication of which asset from the fleet of assets is best suited for deployment. ### Claim 20 (depends on 17) The non-transitory computer-readable medium of claim 17, wherein the pre-emptive recommendation includes a part demand for the fleet of assets and an indication of which asset from the fleet of assets is best suited for deployment.