System and method for diagnosing and validating a machine using waveform data
AssigneeGeneral Electric Company
InventorsPiero Patrone Bonissone, Yu-To Chen, Vipin Kewal Ramani, Rasiklal Punjalal Shah, John Andrew Johnson, Phillip Edward Steen, Ramesh Ramachandran
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Abstract
A system and method for diagnosing and validating a machine with waveform data generated therefrom. Historical waveform data are obtained from machines having known faults along with corresponding actions for repairing the machines and are used to develop fault classification rules. The fault classification rules are stored in a diagnostic knowledge database. The database of classification rules are used to diagnose new waveform data from a machine having an unknown fault.
Claims33
A system for diagnosing a machine from waveform data generated therefrom, comprising:
- a diagnostic knowledge base containing a plurality of rules for diagnosing faults in a machine and a plurality of corrective actions for repairing the faults;
- a diagnostic fault detector for categorizing the waveform data as normal and faulty data;
- a diagnostic feature extractor for extracting a plurality of features from the waveform data categorized as faulty data;
- and
- a diagnostic fault isolator coupled to the diagnostic feature extractor and the diagnostic knowledge base for isolating a candidate set of faults for the extracted features and identifying root causes most likely responsible for the candidate set of faults.
A method for diagnosing a machine having an unknown fault, comprising the steps of:
- obtaining a plurality of rules for diagnosing faults and a plurality of corrective actions for repairing the faults;
- receiving new waveform data from the machine;
- categorizing the new waveform data as normal and faulty data;
- extracting a plurality of features from the new waveform data categorized as faulty data;
- and
- isolating a candidate set of faults for the extracted features and identifying root causes most likely responsible for the candidate set of faults.
A system for performing a validation of waveform data generated from a machine, comprising:
- a diagnostic knowledge base containing a plurality of rules for diagnosing faults in the machine;
- a diagnostic fault detector, for categorizing the waveform data as normal and faulty data;
- and
- a diagnostic feature extractor for extracting a plurality of features from the waveform data categorized as normal data.
A method for performing a validation of waveform data generated from a machine, comprising the steps of:
- obtaining a plurality of rules for diagnosing faults;
- receiving new waveform data from the machine;
- categorizing the new waveform data as normal and faulty data with the plurality of rules;
- and
- extracting a plurality of features from the new waveform data categorized as normal data.
Dependencies are inferred from the claim text.