Testing system and method for detecting anomalous events in complex electro-mechanical test subjects

A method of training a testing system for testing an electro-mechanical test subject, the method comprising:

• for each of a plurality of electro-mechanical training subjects belonging to a class of which the electro-mechanical test subject is a member, receiving a set of training data for a training subject that comprises a time-based series of measurements for each of a plurality of parameters measured by a set of sensors associated with the training subject;
• for each parameter of the plurality of parameters:
• computing one or more parameter statistic values of the time-based series of measurements of the parameter across the plurality of electro-mechanical training subjects, and
• identifying one or more control limits defining a parameter-specific control band for the parameter based on the one or more parameter statistic values computed for the parameter;
• generating a nominal model that comprises, for each of the plurality of parameters, the one or more control limits defining the parameter-specific control band for the parameter;
• and
• storing the nominal model in a data storage device for subsequent implementation by the testing system to selectively generate a test result for each of the plurality of parameters for the test subject based on a comparison of test data received from sensors associated with the test subject to the one or more control limits.

A testing system, comprising a computing system programmed with instructions executable by the computing system to:

• during an initial phase:
• for each of a plurality of electro-mechanical training subjects, receive a set of training data for a training subject that comprises a first time-based series of measurements for each of a plurality of parameters measured by a first set of sensors associated with the training subject;
• for each parameter of the plurality of parameters:
• compute one or more parameter statistic values representing a filtered combination of the first time-based series of measurements of the parameter across the plurality of electro-mechanical training subjects, and
• identify one or more control limits defining a parameter-specific control band for the parameter based on the one or more parameter statistic values computed for the parameter;
• and
• generate a nominal model that comprises, for each of the plurality of parameters, the one or more parameter-specific control limits defining the parameter-specific control band for the parameter;
• during a testing phase subsequent to the initial phase:
• receive test data for an electro-mechanical test subject that comprises a second time-based series of measurements for each of the plurality of parameters measured by a second set of sensors associated with the test subject;
• and
• process the test data for the test subject in combination with the nominal model by, for each parameter of the plurality of parameters:
• comparing the second time-based series of measurements of the parameter of the test data to the parameter-specific control band for the parameter, and
• selectively generating a test result for the parameter responsive to whether a condition is satisfied with respect to any of the time-based series of measurements of the test data exceeding the parameter-specific control band for the parameter.