Nonlinear weight learning model for incipient fault detection and degradation modelling and its interpretability for fault diagnosis

Author:

Li XiaochuanORCID,Zhen Shengbing,Yu Lanlin,Yang ZheORCID,Li Chuan,Mba DavidORCID

Funder

Natural Science Foundation of Anhui Province

Hefei University of Technology

Publisher

Elsevier BV

Reference40 articles.

1. Health indicator for machine condition monitoring built in the latent space of a deep autoencoder;González-Muñiz;Reliab. Eng. Syst. Saf.,2022

2. Robust incipient fault detection of complex systems using data fusion;Wei;IEEE Trans. Instrum. Meas.,2020

3. A nonparametric health index and its statistical threshold for machine condition monitoring;Zhong;Meas. J. Int. Meas. Confed.,2021

4. An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme;Yu;Reliab. Eng. Syst. Saf.,2020

5. Construction of health indicators for condition monitoring of rotating machinery: A review of the research;Zhou;Expert Syst. Appl.,2022

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