Sliding Mode Observer Based Incipient Sensor Fault Detection with Application to High-Speed Railway Traction Device

This paper considers incipient sensor fault development detection issue for a class of nonlinear systems with “observer unmatched” uncertainties. A particular FD (fault detection) sliding mode observer is designed for the augmented system formed by the original system and incipient sensor faults. The parameters are obtained using LMI and line filter techniques to guarantee that the generated residuals

are robust to uncertainties and that sliding motion is not destroyed by faults. Then, three levels of novel adaptive thresholds (incipient sensor fault thresholds, sensor fault thresholds and sensor failure thresholds) are proposed based on the reduced order sliding mode dynamics, which effectively improve the incipient sensor fault development detectability. Case study of on the traction system in CRH (China

Railway High-speed) is presented to demonstrate the effectiveness of the proposed incipient sensor fault development and senor faults detection schemes.