Hidden Markov models in bearing fault diagnosis and prognosis-Reference-Cited by-同舟云学术

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Hidden Markov models in bearing fault diagnosis and prognosis

Published:2010-09 Issue: Volume: Page:
ISSN:
Container-title:2010 Second International Conference on Computational Intelligence and Natural Computing
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Author:

Zhang xing-hui,Kang jian-she

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5636058/5643710/05643712.pdf?arnumber=5643712

Cited by 9 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

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2. On-Device IoT-Based Predictive Maintenance Analytics Model: Comparing TinyLSTM and TinyModel from Edge Impulse;Sensors;2022-07-11

3. Artificial intelligence in prognostics and health management of engineering systems;Engineering Applications of Artificial Intelligence;2022-02

4. Critical Wind Turbine Components Prognostics: A Comprehensive Review;IEEE Transactions on Instrumentation and Measurement;2020-12

5. The Useful Life of Inverter-Based Drive Bearings: Methods and Research Directions from Localized Maintenace to Prognosis;IEEE Industry Applications Magazine;2016-07

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