A clustering method for mechanical fault diagnosis based on improved fish-swarm algorithm

Zhendong yu Chongji/Journal of Vibration and Shock

Volumn 31, Issue 17, 2012, Pages

  Chen, An Hua ^a   Zhou, Bo ^a   Zhang, Hui Fu ^a   Wen, Hong ^a  

^a HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Cluster analysis; Fault diagnosis; Fish swarm algorithm

Indexed keywords

ARTIFICIAL FISH SWARM ALGORITHMS; CLUSTERING METHODS; MECHANICAL FAULT DIAGNOSIS; NEW THEORY; SIMILARITY FACTORS; SIMPLE STRUCTURES;

CLUSTERING ALGORITHMS; FAILURE ANALYSIS;

CLUSTER ANALYSIS;

EID: 84868219267     PISSN: 10003835     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. 2008, 19(1): 85-90.
2. Zhou Q M, Yin C B, Li Y S. Application of variable precision rough set model and neural network to rotating machinery fault diagnosis [J]. Lecture Notes in Computer Science, 2005, 3642: 575-584.
3. 2009, 20(22): 2726-2732.
4. Sakthivel N R, Sugumaran V, Nair B B. Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump [J]. Mechanical Systems & Signal Processing, 2010, 24(6): 1887-1907.
5. Zhang Y Z, Shi L S, Qin L. Rolling bearings fault diagnosis based on adaptive genetic algorithm and spectral kurtosis algorithm [J]. Bearing, 2010(3): 27-32.
6. Zhang X L, Chen X F, He Z J. Fault diagnosis based on support vector machines with parameter optimization by an ant colony algorithm [J]. Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2010, 224(1): 217-229.
7. 2002(11): 32-38.
8. Zhang K, Zhang W, Dai C Y, et al. Artifical fish-swarm based coverage-enhancing algorithm for visible light sensor networks [J]. Optoelectronics letters, 2010, 6(3): 229-231.
9. 2009, 26(10): 3665-3668.
10. 2003, 23(11): 150-154.
11. 2009, 37(12): 215-218.