Index similarity assisted particle filter for early failure time prediction with applications to turbofan engines and compressors

作者：

Highlights：

• Improves the predictive accuracy and uncertainty level of standard Particle filter.

• This method realizes early/incipient fault prognosis.

• We put forward a new Spherical-Cosine-distance-based similarity matching method.

• We tested the proposed method on both simulation and real-world data.

摘要

•Improves the predictive accuracy and uncertainty level of standard Particle filter.•This method realizes early/incipient fault prognosis.•We put forward a new Spherical-Cosine-distance-based similarity matching method.•We tested the proposed method on both simulation and real-world data.

论文关键词：Condition monitoring,Particle filter,Spherical distance,Prognostics

论文评审过程：Received 31 March 2020, Revised 13 June 2022, Accepted 27 June 2022, Available online 30 June 2022, Version of Record 6 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118008