System and method for diagnosing and validating a machine using waveform data
First Claim
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1. 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 parser for removing extraneous data from the waveform data;
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.
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Abstract
The present invention discloses a system and method for diagnosing and validating a machine with waveform data generated therefrom. In this invention, 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.
45 Citations
33 Claims
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1. A system for diagnosing a machine from waveform data generated therefrom, comprising:
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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 parser for removing extraneous data from the waveform data; 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for diagnosing a machine having an unknown fault, comprising the steps of:
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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; removing extraneous data from the new waveform data; categorizing the new waveform data as normal and faulty data; extracting a plurality of features from the new waveform data categorized as faulty data; isolating a candidate set of faults for the extracted features and identifying root causes most likely responsible for the candidate set of faults. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. A system for performing a validation of waveform data generated from a machine, comprising:
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a diagnostic knowledge base containing a plurality of rules for diagnosing faults in the machine; a diagnostic parser for removing extraneous data from the waveform data; a diagnostic fault detector, coupled to the diagnostic parser and the diagnostic knowledge base, 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. - View Dependent Claims (25, 26, 27, 28)
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29. A method for performing a validation of waveform data generated from a machine, comprising the steps of:
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obtaining a plurality of rules for diagnosing faults; receiving new waveform data from the machine; removing extraneous data from the new waveform data; 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. - View Dependent Claims (30, 31, 32, 33)
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Specification