Results 21 to 30 of about 1,161,296 (222)

The geometry and thickness of deformation-band fault core and its influence on sealing characteristics of deformation-band fault zones [PDF]

, 2005
Deformation-band faults in high-porosity reservoir sandstones commonly contain a fault core of intensely crushed rock surrounding the main slip surfaces.
Thompson, L.B., Shipton, Z.K., Evans, J.P.   +2 more
core   +8 more sources

Compound Fault Feature Extraction of Wind Power Gearbox Based on DRS and Improved Autogram

Zhongguo dianli, 2023
Compound fault feature extraction is the key to analyzing the root cause of wind power gearbox faults. A compound fault feature extraction method based on DRS and improved Autogram is proposed.
Haifei MA, Wei TENG, Dikang PENG, Yibing LIU, Tao JIN   +4 more
doaj   +1 more source

Composite Fault Diagnosis of Rolling Bearings: A Feature Selection Approach Based on the Causal Feature Network

Applied Sciences, 2023
A rolling bearing is a complex system consisting of the inner race, outer race, rolling element, etc. The interaction of components may lead to composite faults.
Kuo Gao, Zongning Wu, Chongchong Yu, Mengxiong Li, Sihan Liu   +4 more
doaj   +1 more source

Analysis of rotor winding interturn short circuits affected by the initial dynamic eccentricity in large synchronous condensers

IET Electric Power Applications, 2022
To investigate the effect of initial dynamic eccentricity on the rotor winding turn‐to‐turn short circuit (RWISC) in a large synchronous condenser, this paper uses the study object of a 300 MVar dual water intercooler condenser. Firstly, the air gap flux
Minghan Ma, Yuejia Hou, Yonggang Li, Pengkang He, Meng Jiang, Yucai Wu   +5 more
doaj   +1 more source

Mechanical Compound Fault Analysis Method Based on Shift Invariant Dictionary Learning and Improved FastICA Algorithm

Machines, 2021
For mechanical compound fault, it is of great significance to employ the vibration signal of a single-channel compound fault to analyze and realize the separation of multiple fault sources, which is essentially the problem of single-channel blind source ...
Haodong Yuan, Nailong Wu, Xinyuan Chen
doaj   +1 more source

A Deep Multi-Label Learning Framework for the Intelligent Fault Diagnosis of Machines

IEEE Access, 2020
Deep learning has been applied in intelligent fault diagnosis of machines since it trains deep neural networks to simultaneously learn features and recognize faults.
Jianjun Shen, Shihao Li, Feng Jia, Hao Zuo, Junxing Ma   +4 more
doaj   +1 more source

How thick is a fault? Fault displacement-thickness scaling revisited [PDF]

, 2006
No abstract ...
Soden, A.M., Bright, A.M., Shipton, Z.K., Lunn, R.J., Kirkpatrick, J.D.   +4 more
core   +8 more sources

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

A New Method of Wheelset Bearing Fault Diagnosis

Entropy, 2022
During the movement of rail trains, trains are often subjected to harsh operating conditions such as variable speed and heavy loads. It is therefore vital to find a solution for the issue of rolling bearing malfunction diagnostics in such circumstances ...
Runtao Sun, Jianwei Yang, Dechen Yao, Jinhai Wang   +3 more
doaj   +1 more source

Application of Deep Neural Network in Gearbox Compound Fault Diagnosis

Energies, 2023
Gearbox fault diagnosis is vital to ensure the efficient operation of rotating machinery, and most gearbox faults in industrial production occur in the form of compound faults. To realize the diagnosis of compound faults in gearboxes at different speeds,
Xiangfeng Zhang, Qinghong Xu, Hong Jiang, Jun Li   +3 more
doaj   +1 more source