Shapelets-Based Research on Fault Classification of Rotating Machinery

2019 ◽  
Author(s):  
Ling Zheng ◽  
Biying Chen ◽  
Fei Chen ◽  
Wenhao Xue ◽  
Pengtian Guo ◽  
...  
Keyword(s):  
Rotating Machinery ◽  
Fault Classification

A novel denoising algorithm based on TVF-EMD and its application in fault classification of rotating machinery

Measurement ◽  
2021 ◽  
Vol 179 ◽  
pp. 109337
Author(s):  
Shuqing Zhang ◽  
Fengjiao Xu ◽  
Mengfei Hu ◽  
Liguo Zhang ◽  
Haitao Liu ◽  
...  
Keyword(s):  
Rotating Machinery ◽  
Fault Classification

Fault Classification of Hydroelectric Generating Unit Based on Improved Evidence Theory

2014 ◽  
Vol 7 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Jiatang Cheng ◽  
Li Ai ◽  
Zhimei Duan ◽  
Yan Xiong
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Evidence Theory ◽  
Fault Classification ◽  
Fusion Method ◽  
Inconsistent Result ◽  
High Conflict

Aiming at the problem of the conventional vibration fault diagnosis technology with inconsistent result of a hydroelectric generating unit, an information fusion method was proposed based on the improved evidence theory. In this algorithm, the original evidence was amended by the credibility factor, and then the synthesis rule of standard evidence theory was utilized to carry out information fusion. The results show that the proposed method can obtain any definitive conclusion even if there is high conflict evidence in the synthesis evidence process, and may avoid the divergent phenomenon when the consistent evidence is fused, and is suitable for the fault classification of hydroelectric generating unit.

A Study on Fault Classification of Solenoid Pumps based on Multi-Layer Perceptron

2021 ◽  
Vol 21 (1) ◽  
pp. 12-19
Author(s):  
Suju Kim ◽  
Akpudo Ugochukwu Ejike ◽  
Jangwook Hur
Keyword(s):  
Fault Classification ◽  
Multi Layer Perceptron

scholarly journals Mechanical Fault Classification of an Induction Motor using Texture Analysis

2013 ◽  
Vol 18 (12) ◽  
pp. 11-19 ◽  
Author(s):  
Won-Chul Jang ◽  
Yong-Hoon Park ◽  
Myeong-Su Kang ◽  
Jong-Myon Kim
Keyword(s):  
Induction Motor ◽  
Texture Analysis ◽  
Fault Classification
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