Remaining useful life prediction of induction motors using nonlinear degradation of health index-Reference-Cited by-同舟云学术

Remaining useful life prediction of induction motors using nonlinear degradation of health index

Published:2021-02 Issue: Volume:148 Page:107183
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Yang Feng^ORCID,Habibullah Mohamed Salahuddin,Shen Yan

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference62 articles.

1. Data-based techniques focused on modern industry: an overview;Yin;IEEE Trans. Ind. Electron.,2015

2. A survey of fault diagnosis and fault-tolerant techniques – part i: Fault diagnosis with model-based and signal-based approaches;Gao;IEEE Trans. Ind. Electron.,2015

3. M. M. Islam, J.-M. Kim, Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector machines, Reliab. Eng. Syst. Saf. In-press. doi:10.1016/j.ress.2018.02.012.

4. Remaining useful life prediction of degrading systems subjected to imperfect maintenance: Application to draught fans;Wang;Mech. Syst. Signal Process.,2018

5. Remaining useful life prediction of rolling bearings using an enhanced particle filter;Qian;IEEE Trans. Instrum. Meas.,2015

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