Bearing fault impulses are easily submerged by background noise, resulting in the inconspicuous fault feature and affecting the accuracy of the fault diagnosis. This paper presents a novel method for bearing the fault fe...
To improve the accuracy of the fault diagnosis of a ship propulsion shaft bearing in a harsh working environment, a visual diagnosis method based on the incrementally accumulated holographic symmetrical dot pattern (SDP)...
Determining the embedded dimension of a singular value decomposition Hankel matrix and selecting the singular values representing the intrinsic information of fault features are challenging tasks. Given these issues, thi...
JOURNAL OF MARINE SCIENCE AND ENGINEERINGLi, Bo Xu, Jin Pan, Xinxiang Chen, Rong Ma, Long Yin, Jianchuan Liao, Zhiqiang Chu, Lilin Zhao, Zhiqiang Lian, Jingjing Wang, Haixia 出版年：2023
Due to the recent rapid growth of ocean oil development and transportation, the offshore oil spill risk accident probability has increased unevenly. The marine oil spill poses a great threat to the development of coastal...
Raw vibration signals poorly perform in industrial bearing fault diagnosis because impulse features are damped and masked by disturbances and noises. Fault diagnosis is more challenging due to weak features. This work pr...
To realize an automatic diagnosis of rotating machinery structure faults, this paper presents a novel fault diagnosis model based on adaptive multiband filter and stacked autoencoders (SAEs). First, to solve the problem ...
2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - ProceedingsLiao, Zhiqiang Jia, Baozhu Kong, Defeng Ji, Ran Li, Xiaoyu Hao, Kang 出版年：2022
In the bearing remaining useful life (RUL) prediction, constructing a health indicator to reflect the running bearings health status is one of the most critical parts, because it determines the performance of the RUL pre...
Advances in deep learning methods have demonstrated remarkable development in diagnosing faults of rotating machinery. The currently popular deep neural networks suffer from design flaws in their network structure, leadi...
2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021Liao, Zhiqiang Song, Xuewei Jia, Baozhu Zuo, Dunwen Sheng, Yi Chen, Peng 出版年：2021
The vibration signal with non-stationary, strong noise, and weak fault feature is inevitably acquired in practical marine propulsion shaft bearing fault diagnosis due to harsh environment. These obstacles lead to diagnos...
JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICSJin, Yan Xin, Wang Dapeng, Zhang Zhiqiang, Liao Ximing, Wu 出版年：2022
The remaining useful life forecast (RUL) of rolling bearings, a crucial part of offshore equipment, is one of the most troublesome equipment because it may avoid equipment failure and lessen equipment failure loss. This ...
Bearing failures are the most frequent causes of breakdowns in rotating machinery. Different levels of severity in these failures exhibit distinct fault characteristics in the vibration signal. This paper presents a bear...
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