The Remote Fault Intelligent Diagnosis System Based on B/S Structure

Abstract:

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The feasibility and superiority of the remote fault diagnosis system based on B/S structure is analyzed in this paper. The B/S structure is introduced and compared with C/S structure briefly. The paper summarize frame and main function module of the remote fault diagnosis system and introduce its key technology, such as data acquisition technology, data transmission technology between server and client, intelligent diagnosis technology, database technology etc. The hybrid model of support vector machine (SVM) and hidden markov models(HMM) is used as a intelligent diagnosis method of the system, and a new design which could improve the integrity and privacy of the system database data is applied. According to the diagnostic results to all kinds of simulated faults in the Bently vibration test bed, it shows the system is not only stable, reliable and high accuracy, but also has a certain application value to engineering.

Info:

Periodical:

Advanced Materials Research (Volumes 328-330)

Edited by:

Liangchi Zhang, Chunliang Zhang and Zichen Chen

Pages:

1067-1071

DOI:

10.4028/www.scientific.net/AMR.328-330.1067

Citation:

J. Liu et al., "The Remote Fault Intelligent Diagnosis System Based on B/S Structure", Advanced Materials Research, Vols. 328-330, pp. 1067-1071, 2011

Online since:

September 2011

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Price:

$35.00

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