Results 11 to 20 of about 4,233 (262)

Multiscale Convolutional Neural Network Based on Channel Space Attention for Gearbox Compound Fault Diagnosis

Sensors, 2023
Gearboxes are one of the most widely used speed and power transfer elements in rotating machinery. Highly accurate compound fault diagnosis of gearboxes is of great significance for the safe and reliable operation of rotating machinery systems.
Qinghong Xu, Hong Jiang, Xiangfeng Zhang, Jun Li, Lan Chen   +4 more
doaj   +1 more source

Analyzing Vibration Mechanism of Angular Contact Ball Bearing with Compound Faults on Inner and Outer Rings

Shock and Vibration, 2021
This paper investigates a method to dynamically model compound faults on the inner and outer rings of an angular contact ball bearing as well as their effects on its dynamic behavior.
Lihai Chen, Ma Fang, Ming Qiu, Yanfang Dong, Xiaoxu Pang, Junxing Li, Chuanmeng Yang   +6 more
doaj   +1 more source

Detection of Compound Faults in Ball Bearings Using Multiscale-SinGAN, Heat Transfer Search Optimization, and Extreme Learning Machine

Machines, 2022
Intelligent fault diagnosis gives timely information about the condition of mechanical components. Since rolling element bearings are often used as rotating equipment parts, it is crucial to identify and detect bearing faults.
Venish Suthar, Vinay Vakharia, Vivek K. Patel, Milind Shah   +3 more
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Legendre Multiwavelet Transform and Its Application in Bearing Fault Detection

Applied Sciences, 2023
Bearing failures often result from compound faults, where the characteristics of these compound faults span across multiple domains. To tackle the challenge of extracting features from compound faults, this paper proposes a novel fault detection method ...
Xiaoyang Zheng, Zijian Lei, Zhixia Feng, Lei Chen   +3 more
doaj   +1 more source

Nonlinear Adaptive Hybrid Compensation for Actuator-Sensor Compound Faults of Non-Gaussian Uncertain Systems

IEEE Access, 2020
This paper presents a hybrid fault-tolerant control (FTC) method to handle actuator-sensor compound faults in non-Gaussian uncertain stochastic systems with approximation errors.
Kaiyu Hu, Aili Yusup, Zian Cheng, Yue Wu
doaj   +1 more source

Improved Adaptive Hybrid Compensation for Compound Faults of Non-Gaussian Stochastic Systems

IEEE Access, 2019
This study investigates an adaptive estimation and hybrid parallel distribution compensation for non-Gaussian stochastic systems with actuator-sensor compound faults.
Kaiyu Hu, Changyun Wen, Aili Yusup
doaj   +1 more source

Compound Faults Feature Extraction for Rolling Bearings Based on Parallel Dual-Q-Factors and the Improved Maximum Correlated Kurtosis Deconvolution

Applied Sciences, 2019
Vibration analysis is one of the main effective ways for rolling bearing fault diagnosis, and a challenge is how to accurately separate the inner and outer race fault features from noisy compound faults signals.
Lingli Cui, Jianxi Du, Na Yang, Yonggang Xu, Liuyang Song   +4 more
doaj   +1 more source

Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model

Advances in Mechanical Engineering, 2020
Identification of rolling bearing fault patterns, especially for the compound faults, has attracted notable attention and is still a challenge in fault diagnosis.
HongChao Wang, WenLiao Du
doaj   +1 more source

Intelligent Diagnosis of Rolling Bearings Fault Based on Multisignal Fusion and MTF-ResNet

Sensors, 2023
Existing diagnosis methods for bearing faults often neglect the temporal correlation of signals, resulting in easy loss of crucial information. Moreover, these methods struggle to adapt to complex working conditions for bearing fault feature extraction ...
Kecheng He, Yanwei Xu, Yun Wang, Junhua Wang, Tancheng Xie   +4 more
doaj   +1 more source

Intelligent Compound Fault Diagnosis of Roller Bearings Based on Deep Graph Convolutional Network

Sensors, 2023
The high correlation between rolling bearing composite faults and single fault samples is prone to misclassification. Therefore, this paper proposes a rolling bearing composite fault diagnosis method based on a deep graph convolutional network.
Caifeng Chen, Yiping Yuan, Feiyang Zhao
doaj   +1 more source