Results 1 to 10 of about 4,333 (118)

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   +3 more sources

Harmonic adaptive fault-tolerant control for incipient and multiple faults of high mobility fighter [PDF]

Scientific Reports
This paper proposes a harmonic adaptive fault-tolerant control (FTC) designed to handle multiple disturbances and faults, including incipient faults, in high-mobility fighter aircraft.
Kaiyu Hu, Zhaoyang Wang, Jia Wang
doaj   +2 more sources

An Improved Convolutional Capsule Network for Compound Fault Diagnosis of RV Reducers

Sensors, 2022
In fault diagnosis research, compound faults are often regarded as an isolated fault mode, while the association between compound faults and single faults is ignored, resulting in the inability to make accurate and effective diagnoses of compound faults ...
Qitong Xu, Chang Liu, Enshan Yang, Mengdi Wang   +3 more
doaj   +1 more source

Multi–Output Classification Based on Convolutional Neural Network Model for Untrained Compound Fault Diagnosis of Rotor Systems with Non–Contact Sensors

Sensors, 2023
Fault diagnosis is important in rotor systems because severe damage can occur during the operation of systems under harsh conditions. The advancements in machine learning and deep learning have led to enhanced performance of classification. Two important
Taehwan Son, Dongwoo Hong, Byeongil Kim
doaj   +1 more source

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

Improved DCNN Based on Multi-Source Signals for Motor Compound Fault Diagnosis

Machines, 2022
Induction motors, the key equipment for rotating machinery, are prone to compound faults, such as a broken rotor bars and bearing defects. It is difficult to extract fault features and identify faults from a single signal because multiple fault features ...
Xiaoyun Gong, Zeheng Zhi, Kunpeng Feng, Wenliao Du, Tao Wang   +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
doaj   +1 more source

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

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