Study of Intelligent Information System Based CAN Bus

Abstract:

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In order to more rapidly and accurately diagnose the fault, the CAN bus was applied to system. In this article, an intelligent fault diagnosis method is presented for the diversity, uncertainty and complexity of device faults. The system can directly access self-test information and on-line test information, and information fusion technology, stator current and rotor vibration signals as a diagnostic characteristics input signal were introduced into the motor fault diagnosis. In accordance with the appropriate information, monitoring signs separately adopt a diagnosis sub-network to complete different aspects of fault diagnosis; diagnostic reasoning and drawing conclusions of fault diagnosis. Experiments show that this method is simple and effective. It can also be applied to other fault diagnosis of complex systems and has certain portability.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

2192-2195

DOI:

10.4028/www.scientific.net/AMR.204-210.2192

Citation:

Z. Yao and G. H. Lou, "Study of Intelligent Information System Based CAN Bus", Advanced Materials Research, Vols. 204-210, pp. 2192-2195, 2011

Online since:

February 2011

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Price:

$35.00

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