Fault diagnosis for machinery based on feature extraction and general regression neural network

Author:

Li HaipingORCID,Zhao Jianmin,Ni Xianglong,Zhang Xinghui

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Margin-based approach for outlier detection of industrial design data using a modified general regression neural network;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2022

2. Ensembled mechanical fault recognition system based on deep learning algorithm;Journal of Vibroengineering;2021-09-30

3. Estimation of Optimal Cone Index by Using Neural Networks;Arabian Journal for Science and Engineering;2021-02-20

4. The Prediction of Gold Futures Prices at the Shanghai Futures Exchange Based on the MEEMD-CS-Elman Model;SAGE Open;2021-01

5. Fault diagnosis of various rotating equipment using machine learning approaches – A review;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2020-11-05

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