A bearing intelligent fault diagnosis method based on cluster analysis

Applied Mechanics and Materials

Volumn 152-154, Issue , 2012, Pages 1628-1633

  Cao, Su Qun ^a   Zuo, Xiao Ming ^a   Tao, Ai Xiang ^a   Wang, Jun Min ^a   Chen, Xiang Zhi ^a  

^a HUAIYIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Cluster analysis; Fault diagnosis; Rolling bearing; Unsupervised pattern

Indexed keywords

FAULT TYPES; FUZZY C MEAN; INTELLIGENT DIAGNOSIS; INTELLIGENT FAULT DIAGNOSIS; MACHINE LEARNING TECHNIQUES; ON-MACHINES; ROLLING BEARINGS; ROLLING BODIES; SPECTRAL LINE; TEST DATA; UNSUPERVISED PATTERN;

BEARINGS (MACHINE PARTS); DEMODULATION; FAILURE ANALYSIS; LEARNING SYSTEMS; MECHANICAL ENGINEERING; OPTICAL VARIABLES MEASUREMENT; SPECTRUM ANALYSIS;

CLUSTER ANALYSIS;

EID: 84863171717     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.152-154.1628     Document Type: Conference Paper

References (11)

1. Jingyi Du, Yuanlin Hou: Fault Diagnosis Theory based on Kernel Method and its Method Study. Beijing University Press, Beijing (2010)
2. Jianjun Zhang, Li Zhang, Haifang Mu, Zhengyu Liu and Juan Xu: Improved BP-neural network of the particle swarm optimization in the research on engine fault diagnosis. Journal of agricultural machinery 42(2011)198-203
3. Xuewen He, Haiming Zhao: Support vector machine and its application in the mechanical fault diagnosis. Journal of Zhongnan University 36(2005)97-101 (Pubitemid 40481422)
4. Gelan Yang, Xue Xu, Gang Yang and Jianming Zhang: Semi-supervised Classification by Local Coordination. Lecture Notes in Computer Science 6444(2010)517-524
5. Wentao Sui, Changhou Lu and Dan Zhang: Bearing Fault Diagnosis Based on Feature Weighted FCM Cluster Analysis. International Conference on Computer Science and Software Engineering (2008)518-521
6. G. Yu, C.N. Li and Sagar. Kamarthi: A Cluster-based Wavelet Feature Extraction Method for Machine Fault Diagnosis. Applied Mechanics and Materials 10-12(2008)548-552
7. Qing Yang, Jingran Guo, Dongxu Zhang and Chang Liu: Fault Diagnosis Based on Fuzzy C-means Algorithm of the Optimal Number of Clusters and Probabilistic Neural Network. International Journal of Intelligent Engineering & Systems 4(2011)51-59
8. Qing Lu, Jinfu Feng, Guangshu Nie and Qian Li: Fault diagnosis based on semi-fuzzy clustering algorithm. Journal of Test and Measurement Technology 21(2007)551-556
9. J.C. Bezdek: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)
10. Dao-Qiang Zhang, Song-Can Chen: A Novel Kernelized Fuzzy C-means Algorithm with Application in Medical Image Segmentation. Artificial Intelligence in Medicine 32(2004)37-50 (Pubitemid 39180002)
11. Guoxin Zhang, Zuoshi Liu: The method of fuzzy clustering for bearing fault diagnosis. Journal of Jiangxi University of Science and Technology 27(2006)15-17