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International Journal of Distributed Sensor Networks
Volume 2013 (2013), Article ID 472675, 10 pages
Research Article

Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors

1Guangdong Petrochemical Equipment Fault Diagnosis Key Laboratory, Guangdong University of Petrochemical Technology, Maoming 525000, China
2School of Automation, Guangdong University of Technology, Guangzhou 510006, China
3Department of Automation, Tsinghua University, Beijing 100084, China

Received 10 January 2013; Accepted 5 April 2013

Academic Editor: Zhangbing Zhou

Copyright © 2013 Qing-Hua Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Rotating machinery is widely used in modern industry. It is one of the most critical components in a variety of machinery and equipment. Along with the continuous development of science and technology, the structures of rotating machinery become of larger scale, of higher speed, and more complicated, which results in higher probability of concurrent failure in practice. It is important to enable reliable, safe, and efficient operation of large-scale and critical rotating machinery, which requires us to achieve accurate diagnosis of concurrent fault, for example, rolling bearing diagnosis, gearbox diagnosis, and compressor diagnosis. In this paper, to achieve concurrent fault diagnosis for rotating machinery, which cannot be accurately diagnosed by existing methods, we develop an integrated method using artificial immune algorithm and evidential theory.