Application research of neural network clustering methods in rotating mechanical failure diagnosis
[1]Hao Wei,Xu Min,Zhang Ruilin.Application research of neural network clustering methods in rotating mechanical failure diagnosis[J].Journal of Zhengzhou University (Engineering Science),1995,16(04):7-12.
Copy
Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
16
Number of periods:
1995 04
Page number:
7-12
Column:
Public date:
1995-04-28
- Title:
- Application research of neural network clustering methods in rotating mechanical failure diagnosis
- CLC:
- -
- DOI:
- -
- Abstract:
- In a clustering learning method based on neural networks. There are supervision learning methods and unsupervised learning methods. This article uses unsupervised learning methods to conduct more detailed research on the classification of common faults in rotating machinery. With this classification result, the purpose of fault diagnosis is also described in the article to describe the implementation method of the algorithm. The results show that this method overcomes some defects of rotating mechanical failure diagnostic techniques with supervision and learning methods, and is an effective method for the diagnosis of large -scale rotation mechanical failure.
- References:
- -
- Similar References:
Memo
-
Last Update:
1900-01-01
