A knowledge base system for rotary equipment fault detection and diagnosis-Reference-Cited by-同舟云学术

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A knowledge base system for rotary equipment fault detection and diagnosis

Published:2010-12 Issue: Volume: Page:
ISSN:
Container-title:2010 11th International Conference on Control Automation Robotics & Vision
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Author:

Zhou J.-H.,Wee Louis,Zhong Z.-W.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5702939/5707203/05707843.pdf?arnumber=5707843

Cited by 3 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. Noise-Aware Sparse Gaussian Processes and Application to Reliable Industrial Machinery Health Monitoring;IEEE Transactions on Industrial Informatics;2023-04

2. Robust Deep Learning-Based Diagnosis of Mixed Faults in Rotating Machinery;IEEE/ASME Transactions on Mechatronics;2020-10

3. An overall framework and subsystems for smart manufacturing integrated system (SMIS) from multi-layers based on multi-perspectives;The International Journal of Advanced Manufacturing Technology;2019-03-25

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