Applications of extreme learning machine optimized by ICPSO in fault diagnosis

Zhongguo Jixie Gongcheng/China Mechanical Engineering

Volumn 24, Issue 20, 2013, Pages 2753-2757

  Gao, Fei ^a,b   Li, Hongru ^a   Xu, Baohua ^a  

^a ORDNANCE ENGINEERING COLLEGE   (China)

^b 95918 Army ^*  (China)

Author keywords

Extreme learning machine (ELM); Fault diagnosis; Hydraulic valve; Improved chaos particle swarm optimization (ICPSO)

Indexed keywords

EID: 84890825531     PISSN: 1004132X     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1004-132X.2013.20.010     Document Type: Article

References (10)

1. Huang G B, Zhu Q Y, Siew C K. Extreme Learning Machine: Theory and Application [J]. Neurocomputing, 2006, 70: 489-501.
2. Suresh S, Babu R V, Kim H J. No-Reference Image Quality Assessment Using Modified Extreme Learning Machine Classifier [J]. Applied Soft Computing, 2009, 9: 541-552.
3. Suresh S, Saraswathi S, Sundararajan N. Performance Enhancement of Extreme Learning Machine for Multi-category Sparse Cancer Classification [J]. Applications of Artificial Intelligence, 2010, 23: 1149-1157.
4. Kennedy J, Eberhart R. Particle Swarm Optimization [C]//IEEE International Conference on Neural Networks. Perth, Australia, 1995: 1942-1948.
5. Qiu Guoqing, Tang Xianlun, Zhuang Ling, et al. Application of Neural Network Trainen by Chaos Particle Swarm Optimization to Fault Diagnosis for Rotating Machinery [J]. China Mechinical Engineering, 2008, 19(21): 2642-2645.
6. Jiang C W, Etorre B. A Hybrid Method of Chaotic Particle Swarm Optimization and Linear Interior for Reactive Power Optimization [J]. Mathematics and Computers in Simulation, 2005, 68(1): 57-65.
7. Wang Qifu, Wang Zhanjiang, Wang Shuting. A Modified Particle Swarm Optimizer Using Dynamic Inertia Weight [J]. China Mechinical Engineering, 2005, 16(11): 945-948.
8. Zhu Q Y, Qin A K, Suganthan P N, et al. Evolutionary Extreme Learning Machine [J]. Pattern Recognition, 2005, 38: 1759-1763.
9. Frank A, Asuncion A. UCI Machine Learning Repository, 2011 [DB/OL]. [2011] http://www.ics.uci.edu.
10. Huang W, Shen Z, Norden E. Nonlinear Indicial Response of Complex No Stationary Oscillations as Pulmonary Hypertension Responding to Step Hypoxia [J]. Proceedings of the National Academy of Science, 1999, 96(5): 1834-1839.