Results 221 to 230 of about 908,506 (299)

Semisupervised Subdomain Adaptation Graph Convolutional Network for Fault Transfer Diagnosis of Rotating Machinery Under Time-Varying Speeds

IEEE/ASME transactions on mechatronics
The deep learning-based fault diagnosis approaches have shown great advantages in ensuring rotating machinery (RM) work normally and safely. However, in real industrial applications, due to the influence of speed fluctuation, the differences in ...
Pengfei Liang, Leitao Xu, Han Shuai, Xiaoming Yuan, Bin Wang, Lijie Zhang   +5 more
semanticscholar   +1 more source

Self-Supervised-Enabled Open-Set Cross-Domain Fault Diagnosis Method for Rotating Machinery

IEEE Transactions on Industrial Informatics
Crossing different working conditions is a common scenario in rotating machinery fault diagnosis, which can be solved by cross-domain transfer learning.
Li Wang, Yiping Gao, Xinyu Li, Liang Gao
semanticscholar   +1 more source

Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data

IEEE Transactions on Instrumentation and Measurement
Timely and accurate data-driven fault diagnosis approaches are essential for ensuring the reliable operation and efficient maintenance of rotating machinery. However, practical applications face challenges in obtaining sufficient fault samples in advance,
Jingyan Xia, Ruyi Huang, Jipu Li, Zhuyun Chen, Weihua Li   +4 more
semanticscholar   +1 more source

Microcombustors for Rotating Machinery

2009
To drive microscale rotating machinery such as a microengine, motor-compressor, or generator, energy must be added to the system. This can take many forms depending on the application, however, for an engine intended to be a primary power source; this is usually thermal energy.
C.M. Spadaccini, I.A. Waitz
openaire   +1 more source

A survey on fault diagnosis of rotating machinery based on machine learning

Measurement science and technology
With the booming development of modern industrial technology, rotating machinery fault diagnosis is of great significance to improve the safety, efficiency and sustainable development of industrial production.
Qi Wang, Rui Huang, Jianbin Xiong, Jianxiang Yang, Xiangjun Dong, Yipeng Wu, Yinbo Wu, Tiantian Lu   +7 more
semanticscholar   +1 more source

An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis Under Noisy Labels

IEEE Transactions on Instrumentation and Measurement
In engineering applications, the effectiveness of rotating machinery fault diagnosis is often disturbed by both vibration noise and labeling noise. Vibration noise makes it more difficult for the model to extract a potential fault impact feature, while ...
Guohao Qin, Kai Zhang, Xuwei Lai, Qing Zheng, Guofu Ding, Minghang Zhao, Yuehong Zhang   +6 more
semanticscholar   +1 more source

Fault detection and diagnosis in rotating machinery

SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002
The detection and diagnosis of mechanical faults in rotating machinery using a model-based approach is studied. For certain types of faults, for example raceway faults in rolling element bearings, increase in mass unbalance and changes in stiffness and damping, algorithms suitable for real-time implementation are developed and tested.
Kenneth A. Loparo, Nadar Afshari, M. Farouk Abdel-Magied   +2 more
openaire   +1 more source

An Interpretable Parallel Spatial CNN-LSTM Architecture for Fault Diagnosis in Rotating Machinery

IEEE Internet of Things Journal
In the evolving landscape of prognostics and health management (PHM) enhanced by the Internet of Things (IoT), diagnosing machinery system faults is critical for ensuring operational efficiency and safety across various industries.
Qianyu Zhou, Jiong Tang
semanticscholar   +1 more source

Interpretable domain adaptation transformer: a transfer learning method for fault diagnosis of rotating machinery

Structural Health Monitoring
Domain adaptation-based transfer learning methods have been widely investigated in fault diagnosis of rotating machinery, but their basic convolution or recurrent structure is subject to poor global feature representation ability, which hinders the ...
Dongdong Liu, Lingli Cui, Gang Wang, Weidong Cheng   +3 more
semanticscholar   +1 more source

Balancing of Rotating Machinery

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 1991
An important form of vibration experienced by rotating machinery in a wide range of applications is that due to inherent unbalance. Rotating machinery may incorporate either rigid or flexible shafts and balancing procedures for both cases are discussed, but emphasis is given to a review of techniques for the high-speed balancing of flexible shafts ...
openaire   +1 more source