Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors
Joint Authors
Qin, Aisong
Sun, Guoxi
Zhang, Qing-Hua
Hu, Qin
Si, Xiaosheng
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhang, Qing-Hua& Hu, Qin& Sun, Guoxi& Si, Xiaosheng& Qin, Aisong. 2013. Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-474251
Modern Language Association (MLA)
Zhang, Qing-Hua…[et al.]. Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-474251
American Medical Association (AMA)
Zhang, Qing-Hua& Hu, Qin& Sun, Guoxi& Si, Xiaosheng& Qin, Aisong. Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-474251
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474251