Design about Monitoring and Diagnosis System Structure of Rotating Machinery Based on LabVIEW

Author:

Lu Yan Jun1,Liu Ying1

Affiliation:

1. Shenyang Aerospace University, Shenyang, China

Abstract

Rotating machinery becomes more and more large and complex, increasingly high degree of automation. Rotating machinery fault could easily lead to heavy losses. Therefore, the requirements of monitoring and diagnosis systems are increasing high. In this paper, the superiority of the application of virtual instrument on condition monitoring and diagnosis system building in the industrial production is described. And then, the rotor system as the main research object, a rotating machinery condition monitoring and diagnosis system is built by using Virtual Instrument technology. At the same time, the structure of the condition monitoring and diagnosis system is discussed. Besides, data acquisition process and fault features recognition method are discussed as well. Finally, the correctness and accuracy of fault detection are verified by means of experiments.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference8 articles.

1. Li Jia and Bao Ruixin. The Development of Trouble Diagnosing System of Rotating Machine Based on LabVIEW, Noise and Vibration Control., vol. 1, Jan. 2008, pp: 47-50.

2. Zhou Dezhao , Zhang Jinming and Jiang Zhinong LabVIEW - Based Data Acquisition and Processing of the Rotor Vibration Signal, Instrument and Measurement Technique, vol. 24, 2005, pp: 62-64.

3. Ma Songmei, Ma Xiaojiang and Yuan Yu. Feature spectral analysis of rotor based on Labview, China Engineering Company, vol. 1, Jan. 2007, pp: 44-46.

4. Chen Xia and Li Weixuan. Roller Bearing Fault Monitoring and Diagnosis System based on Virtual Instrument, Journal of Wuhan University of Technology, vol. 29, 2007, pp: 41-43.

5. Tang Dongwei, Huang Yaosheng and Wang Yuhua. Rotating machinery fault monitoring and diagnosis system based on virtual instrument technology, Mining & Processing Equipment, vol. 34, 2006, pp: 103-014.

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