Fault diagnosis of Rail Vehicle Suspension Systems by using GLRT

Abstract
In this paper, we consider fault detection issue for Rail Vehicle Suspension Systems. The faults considered are the secondary vertical damper fault, the vertical spring fault and sensor failure. A Kalman filter is applied to generate the residual for fault detection. When there is a detectable fault, the observer sends an alarm signal if the residual evaluation is larger than a predefined threshold. The effectiveness of the proposed approach is demonstrated by simulation results for several fault scenarios.

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