VEHICLE FAULT DIAGNOSTICS AND PROGNOSTICS USING AUTOMATIC DATA SEGMENTATION AND TRENDING

A controller processes data from one or more sensors of a subsystem of a vehicle. The processing includes smoothing the data and calculating a mean of the data. The controller identifies a transition point in the processed data where a moving average of the data is less than the mean by a predetermi...

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Bibliographische Detailangaben
Hauptverfasser: CORR, Kevin M, ZHANG, Yilu, SANCHEZ, Joshua J, DU, Xinyu, YANG, Zhongyu, NOWAK, Mateusz M
Format: Patent
Sprache:eng
Schlagworte:
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Beschreibung
Zusammenfassung:A controller processes data from one or more sensors of a subsystem of a vehicle. The processing includes smoothing the data and calculating a mean of the data. The controller identifies a transition point in the processed data where a moving average of the data is less than the mean by a predetermined amount indicating a trend. The controller selects a segment of the processed data subsequent to the transition point, detects the trend in the segment using regression, and extrapolates the detected trend to reach a predetermined fault threshold. The controller predicts a failure of the subsystem based on a slope of the extrapolated trend and provides an indication of the prediction based on the slope to schedule a service for the subsystem.