# US 2018/0321668 A1 · Method for determining diagnostic patterns for time series of a technical system, and diagnostic method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2018/0321668 A1 - Document ID: US20180321668A1 - Status: Published application - Kind: A1 - Application number: 15/764,023 - Filed: 2016-09-23 - Published: 2018-11-08 - Earliest claimed: 2015-09-30 - Assignees: Siemens Aktiengesellschaft - Applicants: Siemens Aktiengesellschaft - Inventors: Stephan GRIMM; Stephan GUENNEMANN - Web page: https://patentgrep.com/patent/US20180321668A1 ## CPC - 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 23/0248: {Causal models, e.g. fault tree; digraphs; qualitative physics} - 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) ## Abstract The disclosure relates to a method for determining diagnostic models for time series of a technical system and to a diagnostic method. In the method for determining one or more diagnostic model/s for time series of a technical system for the purpose of diagnosing an event, firstly, one or more diagnostic models are formulated and, in a first act, possible extensions of the diagnostic model/s are determined; in a second act, for each extension of the/each diagnostic model/s, a set of sequences is determined from the time series, in which the extension is contained; in a third act, each sequence of said set is tested to determine whether the sequence is connected with the event; and in a fourth act, the/those extensions for which the ratio of the number of sequences of the set which are connected with the event to the number of sequences of the set is largest, is/are set as the new diagnostic model. ## Claims ### Claim 1 A method for determining one or more diagnosis patterns for time series of a technical system for the purpose of diagnosis of an event, wherein at least one diagnosis patter is formulated, the method comprising: determining at least one extension of the at least one diagnosis pattern; identifying a set of sequences that contains the at least one extension from the time series for each extension of each diagnosis pattern; performing a respective check for multiple sequences in the set of sequences or performing a check for each sequence in the set of sequences to determine whether or not a sequence is connected to the event; and formulating at least one new diagnosis pattern for which a ratio of a number of sequences in the set of sequences that are connected to the event and an overall number of sequences in the set of sequences is greatest. ### Claim 2 (canceled) ### Claim 3 (depends on 1) The method of claim 1, further comprising: repeating the determining, the identifying, the performing , ad the formulating one or more times. ### Claim 4 (depends on 1) The method of claim 1, wherein at least one sequence in the set of sequences and the time series and/or the at least one diagnosis patterns are successions of elements in a form of tuples. ### Claim 5 (depends on 1) The method as claimed in one of the preceding claims, in of claim 1, wherein a diagnosis pattern of the at least one diagnosis pattern is contained in a sequence in the set of sequences when successive tuples of the diagnosis pattern are at least parts of tuples of the sequence in a correct relative succession, wherein a maximum interval between the successive tuples of the diagnosis pattern is not exceeded within the sequence. ### Claim 6 (depends on 1) The method of claim 1, wherein a diagnosis pattern of the at least one diagnosis pattern is contained in a sequence in the set of sequences when successive tuples of the diagnosis pattern are at least parts of tuples of the sequence in a correct relative succession, wherein a respective maximum interval between respective successive tuples of the diagnosis pattern is not exceeded within the sequence. ### Claim 7 (depends on 1) The method of claim 1, wherien an entry for a tuple of the diagnosis pattern has an equivalent generic term for this entry. ### Claim 8 (depends on 1) The method of claim 1, wherein the extensions of the at least one diagnosis pattern are developed in a tree structure, wherein the tree structure is searched according to a breadth-first search. ### Claim 9 (depends on 1) The method of claim 1, wherein an extension of the at least one diagnosis pattern is determined by virtue of a final element being appended, or a further entry being added to a final tuple. ### Claim 10 A diagnosis method for a technical system, the method comprising: determining at least one extension of at least one diagnosis pattern; identifying a set of sequences that contains the at least one extension from a time series for each extension of each diagnosis pattern; performing a respective check for multiple sequences in the set of sequences or performing a check for each sequence in the set of sequences to determine whether or not a sequence is connected to the event formulating at least one new diagnosis pattern for which a ratio of a number of sequences in the set of sequences that are connected to the event and an overall number of sequences in the set of sequences is greatest; and detect a diagnosis of a property of the technical system using the at least one new diagnosis pattern. ### Claim 11 (depends on 4) The method of claim 4, wherein a diagnosis pattern of the at least one diagnosis pattern is contained in a sequence in the set of sequences when successive tuples of the diagnosis pattern are at least parts of tuples of the sequence in a correct relative succession, wherein a maximum interval between the successive tuples of the diagnosis pattern is not exceeded within the sequence. ### Claim 12 (depends on 4) The method of claim 4, wherein a diagnosis pattern of the at least one diagnosis pattern is contained in a sequence in the set of sequences when successive tuples of the diagnosis pattern are at least parts of tuples of the sequence in a correct relative succession, wherein a respective maximum interval between respective successive tuples of the diagnosis pattern is not exceeded within the sequence. ### Claim 13 (depends on 4) The method of claim 4, wherein an entry for a tuple of the diagnosis pattern has an equivalent generic term for this entry. ### Claim 14 (depends on 4) The method of claim 4, wherein the extensions of the at least one diagnosis pattern are developed in a tree structure, wherein the tree structure is searched according to a breadth-first search. ### Claim 15 (depends on 4) The method of claim 4, wherein an extension of the at least one diagnosis pattern is determined by virtue of a final element being appended, or a further entry being added to a final tuple.