Results 271 to 280 of about 31,713 (311)

Application of MMAS and Rough Sets in Compound-Fault Diagnosis of Bearing

Advanced Materials Research, 2012
The diagnosis of compound-fault is always a difficult point, and there is not an effective method in equipment diagnosis field. Rough set theory is a relatively new soft computing tool to deal with vagueness and uncertainty. Condition attribute reduce algorithm is the key point of rough set research.
Hai Ying Kang, Ren Fa Shen, Yan Jie Qi, Wen Yan, Hai Qi Zheng   +4 more
openaire   +1 more source

A New ICA-SOM Based Method for Compound Faults Diagnosis

2006 6th World Congress on Intelligent Control and Automation, 2006
Compound faults diagnosis is an important but difficult task in diagnostics. When several faults arise at the same time, vibration measurements by sensors show themselves as a complex integrated symptom, not as a simple and linear combination of several single faults, which makes it difficult to detect compound faults correctly.
null Weidong Jiao, null Shixi Yang, null Suxiang Qian, null Gongbiao Yan   +3 more
openaire   +1 more source

Compound fault diagnosis of gearboxes based on GFT component extraction

Measurement Science and Technology, 2016
Compound fault diagnosis of gearboxes is of great importance to the long-term safe operation of rotating machines, and the key is to separate different fault components. In this paper, the path graph is introduced into the vibration signal analysis and the graph Fourier transform (GFT) of vibration signals are investigated from the graph spectrum ...
Lu Ou, Dejie Yu
openaire   +1 more source

Compound fault diagnosis of rolling bearings based on AVMD and IMOMEDA

Measurement Science and Technology
Abstract The intricate nature of compound fault diagnosis in rolling bearings during nonstationary operations poses a challenge. To address this, a novel technique combines adaptive variational mode decomposition (AVMD) with improved multipoint optimal minimum entropy deconvolution adjustment (IMOMEDA).
Zhijie Lu, Xiaoan Yan, Zhiliang Wang, Yuyan Zhang, Jianjun Sun, Chenbo Ma   +5 more
openaire   +1 more source

Research on Bearing Fault Diagnosis Based on 1DCNN with Fault Compound Features

2023
Yubin Yue, Hongjun Wang
openaire   +1 more source

Compound Fault Separation and Diagnosis Method Based on FSA-CNN and DAN

2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS), 2021
Jiechao Dong, Liping Yan, Yuanqing Xia
openaire   +1 more source

Adaptive Swarm Decomposition Algorithm for Compound Fault Diagnosis of Rolling Bearings

IEEE Transactions on Instrumentation and Measurement, 2023
Chaoang Xiao, Jianbo Yu
openaire   +1 more source

EEMD-CNN based Method for Compound Fault Diagnosis of Bearing

2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 2022
Anubhuti Singh, Arun Kumar
openaire   +1 more source

Compound fault diagnosis in hydraulic system with multi-output SVM

IET Conference Proceedings, 2021
Z. Xu, H. Yu, J. Tao, C. Liu
openaire   +1 more source

Compound fault diagnosis for industrial robots based on dual-transformer networks

Journal of Manufacturing Systems, 2023
Chong Chen, Guokai Liu
exaly