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International Conference on Engineering and Business Management (EBM 2010 PAPERBACK)

Chengdu,China,China,3.24-3.26,2010

ISBN: 978-1-935068-05-1 Scientific Research Publishing, USA

Paperback 6066pp Pub. Date: March 2010

Category: Engineering

Price: $280

Title: Condition Monitoring for Bearings Based on SA Algorithm and BP Neural Networks
Source: International Conference on Engineering and Business Management (EBM 2010 PAPERBACK) (pp 1641-1643)
Author(s): Dan Zhang, School of Electrical & Electronic Engineering, Shandong University of Technology, Zibo, China
Wentao Sui, School of Mechanical Engineering, Shandong University of Technology, Zibo, China
Abstract: Abstract: A simulated annealing-based approach is proposed in order to improve the classification accuracy, which not only provides better parameter settings for network architecture of BPN, but also finds out the sensitive subset of features. To verify the effectiveness of the proposed method, the roller bearing is tested under four operating conditions, five different shaft speeds and two load levels, and 52 features are extracted from the vibration signals of the tested bearing. The experimental results show that the proposed method can obtain a higher classification accuracy rate than other methods. Therefore, it is a promising approach to condition monitoring of rotating machinery.
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