Results 281 to 290 of about 4,524,731 (322)

A zero-shot fault semantics learning model for compound fault diagnosis

Expert Systems with Applications, 2023
Juan Xu, Shaokang Liang, Xu Ding, Ruqiang Yan   +3 more
openaire   +1 more source

A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings

IEEE Transactions on Automation Science and Engineering, 2018
This paper proposes a wavelet-based statistical signal detection approach for monitoring and diagnosis of bearing compound faults at an early stage. The bearing vibration signal is decomposed by an orthonormal discrete wavelet transform to obtain its ...
Wei Fan, Q. Zhou, Jian Li, Zhongkui Zhu
semanticscholar   +1 more source

A novel compound fault diagnosis method using intrinsic component filtering

Measurement Science and Technology, 2020
Abstract: Compound fault diagnosis of gearbox, which can prevent breakdown accidents and minimize production loss, has become a hotspot and challenge. In practical application, the early fault signal is weak and often concealed by environmental noise. Therefore, how to to separate different fault components from the signals with weak faults and strong ...
Zongzhen Zhang, Shunming Li, Yu Xin, Huijie Ma   +3 more
openaire   +1 more source

Step-by-Step Compound Faults Diagnosis Method for Equipment Based on Majorization-Minimization and Constraint SCA

IEEE/ASME transactions on mechatronics, 2019
Compound faults often occur simultaneously or successively due to the complexity of intelligent mechatronic systems. The generation of such group faults will bring more difficulties to fault diagnosis.
Yansong Hao, Liuyang Song, Bangyue Ren, Huaqing Wang, Lingli Cui   +4 more
semanticscholar   +1 more source

Broad zero-shot diagnosis for rotating machinery with untrained compound faults

Reliability Engineering & System Safety, 2023
Chenyang Ma, Xianzhi Wang, Yongbo Li, Zhiqiang Cai   +3 more
semanticscholar   +1 more source

Mechanical compound faults extraction based on improved frequency domain blind deconvolution algorithm

Mechanical systems and signal processing, 2017
Since the signals which picked up by acoustic sensors are usually mixed with fault source signals and other noise signals due to the strong background noise in real-time working conditions, making it difficult to extract and identify the useful signals ...
Zeguang Yi, Nan Pan, Yu Guo
semanticscholar   +1 more source

Compound Faults Diagnosis Method Based on Adaptive GST-NMF for Rolling Bearing

Prognostics and System Health Management Conference, 2019
In order to solve the difficulty of features extraction of compound faults in underdetermined state, this research proposes an approach to extract signal features by combining adaptive generalized S transform (GST) and non-negative matrix factorization ...
Hongwei Luo, Liuyang Song, Mengyang Wang, Huaqing Wang, Lingli Cui   +4 more
semanticscholar   +1 more source

Compound faults diagnosis method for wind turbine mainshaft bearing with Teager and second-order stochastic resonance

Measurement, 2022
Tian Han, Lingjie Ding, Dandan Qi, Chaohui Li, Z. Fu, Weidong Chen   +5 more
semanticscholar   +1 more source

A novel targeted method of informative frequency band selection based on lagged information for diagnosis of gearbox single and compound faults

Mechanical systems and signal processing, 2022
H. Alavi, A. Ohadi, Soheil Tofighi Niaki
semanticscholar   +1 more source

Fault feature selection for the identification of compound gear-bearing faults using firefly algorithm

The International Journal of Advanced Manufacturing Technology, 2023
Andrews Athisayam, Manisekar Kondal
openaire   +1 more source