General Electric Company
RESIDUAL-BASED SUBSTATION CONDITION MONITORING AND FAULT DIAGNOSIS

Abstract:

Briefly, embodiments are directed to a system, method, and article for monitoring and diagnosing a status of one or more assets of a power grid system. Input data measurements and training data measurements from one or more data sources relating to the power grid system may be accessed or received. An offline training phase and an online monitoring and diagnosis phase may be performed. During the offline training phase, first features may be extracted from the training measurement data, one or more residual generation models may be trained using the extracted features as model inputs, and one or more residual-based classifiers may be trained. During the online monitoring and diagnosis phase, second features may be extracted from the input measurement data, one or more residuals may be generated based on the extracted second features, and a status of the one or more assets may be determined based on the one or more residuals, where the one or more residuals may comprise a difference between model predicted values and measured values from the one or more data sources. An output may be generated indicating the status of the one or more assets based on the classification of the status.