Prognostics of gas turbine engine: An integrated approach

作者：

Highlights：

• Utilisation of complete systems knowledge for better prognostics.

• Inclusion of information about the irregular events.

• Use of Bayesian hierarchical model (BHM).

• Use of relative direct density ratio based change-point detection (CPD).

• Integrated approach combining all of the above for better prognostics.

摘要

•Utilisation of complete systems knowledge for better prognostics.•Inclusion of information about the irregular events.•Use of Bayesian hierarchical model (BHM).•Use of relative direct density ratio based change-point detection (CPD).•Integrated approach combining all of the above for better prognostics.

论文关键词：Diagnostics,Prognostics,Bayesian hierarchical model,Information-theoretic change point detection,Irregular events

论文评审过程：Available online 26 July 2015, Version of Record 29 August 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.07.003