scholarly journals A Transient Fault Recognition Method for an AC-DC Hybrid Transmission System Based on MMC Information Fusion

Energies ◽  
2016 ◽  
Vol 10 (1) ◽  
pp. 23 ◽  
Author(s):  
Jikai Chen ◽  
Yanhui Dou ◽  
Yang Li ◽  
Jiang Li ◽  
Guoqing Li
Keyword(s):  
Information Fusion ◽  
Transmission System ◽  
Recognition Method ◽  
Transient Fault ◽  
Fault Recognition ◽  
Hybrid Transmission

Factorial Hidden Markov Model Recognition Method Based on Multi-Channel Information Fusion

2011 ◽  
Vol 291-294 ◽  
pp. 2027-2033
Author(s):  
Zhi Nong Li ◽  
Guan Hua Wu ◽  
Jing Jiang ◽  
Fu Zhou Feng
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Information Fusion ◽  
Hidden Markov ◽  
Recognition Method ◽  
Fault Recognition ◽  
Channel Information ◽  
Speed Up ◽  
Som Neural Network ◽  
Model Recognition

Combining Self-organizing Feature Map (SOM) and Factorial hidden Markov model (FHMM), a new FHMM fault recognition method based on multi-sensor vibration information fusion is proposed. In the proposed method, the SOM neural network is used to reduce the information redundancy in feature vectors extracted from the multi-sensor’s vibration measurements, FHMM as a classifier. The fault recognition in the speed-up and speed-down process of rotating machinery was successfully completed. The experiment result shows that the proposed method is very effective.

Research on fault recognition method combining 3D Res-UNet and knowledge distillation

2021 ◽  
Vol 18 (2) ◽  
pp. 199-212
Author(s):  
Jing Wang ◽  
Jun-Hua Zhang ◽  
Jia-Liang Zhang ◽  
Feng-Ming Lu ◽  
Rui-Gang Meng ◽  
...  
Keyword(s):  
Recognition Method ◽  
Fault Recognition ◽  
Knowledge Distillation
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