System and method for diagnosing and validating a machine over a network using waveform data

A method for diagnosing a machine having an unknown fault from a remote facility over a network, 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 via the network;
• 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, from a remote facility over a network, 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, from a remote facility over a network, comprising the steps of:

• obtaining a plurality of rules for diagnosing faults;
• receiving new waveform data from the machine via the network;
• 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.