Design of Signal Feature Extraction Solution for Gear Performance Degradation

Author:

Wu Jiachi,He Bin,Zhang Dong,Wang Weijia

Publisher

Springer Nature Singapore

Reference28 articles.

1. Lei, Y.G., Yang, B., et al.: Deep transfer diagnosis method for machinery in big data era. J. Mech. Eng. 55(07), 1–8 (2019)

2. Xue, J.L.: The Study on Gear Fault Diagnosis of Gearbox Based on Information Fusion of Vibration and Noise. Qingdao Technological University, Qingdao (2012)

3. Qian, Y., Yan, R., Hu, S.: Bearing degradation evaluation using recurrence quantification analysis and Kalman filter. IEEE Trans. Instrum. Meas. 63(11), 2599–2610 (2014)

4. Li, L.Y.: Fault Feature Extraction Based on Nonlinear Analysis and Recognition Methods Research. Beijing Institute of Technology, Beijing (2016)

5. Wang, J.: Methodology of Fault Diagnosis of Rotating Machinery via Multiscale and Nonlinear Condition Feature Enhancement. University of Science and Technology of China, Hefei (2015)

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1. A novel optimized vibration analysis system for PG rotatory system;International Journal of Dynamics and Control;2022-10-21

2. Collision dynamics of gear meshing with multi-clearance and multi-state under friction consideration;The International Journal of Advanced Manufacturing Technology;2022-03-26

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