Title: Time to failure estimation based on degradation model with random failure threshold
Authors: Jie Chen; Cunbao Ma; Dong Song
Addresses: School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China ' School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China ' School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China
Abstract: As the 'point' which the system performance degrades to failure is unpredictable or random in engineering practices, it is a challenging issue to consider the failure threshold's randomicity in fault prognostic system. This paper develops an integrated methodology for time to failure estimation based on degradation model with random failure threshold. Considering both the degradation rate and the failure threshold uncertainty in failure probability analysis, the methodology for failure time forecasting is deduced, and then the fault prognostic system developing process is given in this paper. At last, the developed fault estimation method is demonstrated by an electro-hydrostatic actuator (EHA) system simulation example in aeronautical field.
Keywords: fault estimation; degradation models; random failure threshold; forecasting; simulation; time to failure estimation; failure probability analysis; electrohydrostatic actuators; EHAs; aeronautics; modelling.
International Journal of Reliability and Safety, 2016 Vol.10 No.2, pp.145 - 157
Accepted: 18 Jun 2016
Published online: 15 Aug 2016 *