The Research Status and Development Trend on the Test and Diagnostic Techniques of Engineering Machinery

Article Preview

Abstract:

the wide application of engineering machinery in the engineering construction gives important significance on the development of the test and diagnostic techniques of engineering machinery. This article introduces the development and status of the test and diagnostic techniques of engineering machinery and analyses its development trend.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

1748-1752

Citation:

Online since:

March 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Liu Peng, Research and Development of On-line Monitoring System for Rotating Machinery based on LabVIEW. Ms D Thesis. Dalian: Dalian University of Technology, (2006).

Google Scholar

[2] Chen Tao, Study on Virtual Instrumentation of Low Speed Heavy Load Large Bearing's Fault Diagnosis. Ms D Thesis. Chongqing: Chongqing University, (2006).

Google Scholar

[3] Lu Chunyue & Wang Junyuan. The Present Situation and Developing Tendency of Machinery Trouble Diagnosis. Mechanical Management and Development, Vol. 6(2004), pp.85-86, in Chinese.

Google Scholar

[4] Fu Yanping & Fu Qifeng. The Usual Methods of Fault Diagnosis and Monitoring for Mechanical Equipment and Its Development Trend. Hebei Journal of Industrial Science & Technology, Vol. 4( 2004), pp.59-60, in Chinese.

Google Scholar

[5] Huang Weili, Huang Weijian, Wang Fei & Du Wei. The Development Trend and Fault. Diagnosis Technology of Machinery. Mining & Processing Equipment, Vol. 1(2005) , pp.66-68, in Chinese.

Google Scholar

[6] Yang Shen. A Design of Remote Monitoring and Fault Diagnosis Virtual System for Large-Scale Mechanism. Ms D Thesis. Dalian: Dalian University of Technology, 2006, pp.2-6.

Google Scholar

[7] Chen Ling. Research on Equipment Status Monitor and Fault Diagnosis on LabVIEW. . Ms D Thesis. Taiyuan: North University of China, (2006).

Google Scholar

[8] Jian Xiaogang, Zhang Yanwei & Feng Yue. Research Status and Development Trend of Machinery Fault Diagnosis. Chinese Journal of Mechanical Engineering. Vol. 4(2005), pp.445-447, in Chinese.

Google Scholar