Incipient Fault Detection Based on Robust Threshold Generators: A Sliding Mode Interval Estimation Approach

This paper presents an incipient fault detection framework for systems with process disturbances and sensor disturbances based on a novel proposed threshold generator. Firstly, the definition of incipient faults is given using the H? from the quantitative point of view. Then, from the generated residuals and RMS evaluation function, the threshold generator is proposed based on sliding mode interval estimation module to ensure that the RMS evaluation of residuals is less than the generated threshold. By using recent results of the bounded real lemma for internally positive systems, a set of su?cient conditions to detect incipient faults via linear matrix inequality (LMI) is presented. Case study on an electrical traction device is presented to verify the e?ectiveness of the proposed method.