Key-performance-indicators-related fault subspace extraction for the reconstruction-based fault diagnosis-Reference-Cited by-同舟云学术

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Key-performance-indicators-related fault subspace extraction for the reconstruction-based fault diagnosis

Published:2021-12 Issue: Volume:186 Page:110119
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Luo Jiayu,Kong Xiangyu,Hu Changhua,Li Hongzeng

Funder

Natural Science Foundation of Shaanxi Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference26 articles.

1. Monitoring and processing signal applied in machining processes – A review;Lauro;Measurement,2014

2. S. Yin, S.X. Ding, X. Xie, H.J. Luo, A review on basic data-driven approaches for industrial process monitoring, IEEE Trans. Ind. Electron 61(11) (2014) 6418-6428.

3. Joint monitoring of multiple quality-related indicators in nonlinear processes based on multi-task learning;Yan;Measurement,2020

4. Industrial process monitoring based on Fisher discriminant global-local preserving projection;Tang;J. Process Contr.,2019

5. X. Kong, C. Hu, Z. Duan, Generalized Principal Component Analysis, Springer Singapore, 2017.

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