Fault Diagnosis Method of Wind Turbine Bearing Based on Improved Intrinsic Time-scale Decomposition and Spectral Kurtosis-Reference-Cited by-同舟云学术

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Fault Diagnosis Method of Wind Turbine Bearing Based on Improved Intrinsic Time-scale Decomposition and Spectral Kurtosis

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)
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Author:

Zhang Ying,Zhang Chao,Liu Xinyuan,Wang Wei,Han Yu,Wu Na

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8767102/8778449/08778629.pdf?arnumber=8778629

Cited by 5 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. Rotating Machinery Fault Diagnosis Based on Typical Resonance Demodulation Methods: A Review;IEEE Sensors Journal;2023-04-01

2. Research on Radio Station Identification Method Based on Combination of Signal Decomposition Optimization and Fractal Processing;2023 6th International Conference on Communication Engineering and Technology (ICCET);2023-02

3. Acoustic Vector Sensor Multi-Source Detection Based on Multimodal Fusion;Sensors;2023-01-23

4. Suspended sediment load prediction using hybrid bagging-based heuristic search algorithm;Geocarto International;2022-09-15

5. A decomposition and multi-objective evolutionary optimization model for suspended sediment load prediction in rivers;Engineering Applications of Computational Fluid Mechanics;2021-01-01

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