Application of the fault diagnosis strategy based on hierarchical information fusion in motors fault diagnosis

Xia Li , Fei Qi

Journal of Marine Science and Application ›› 2006, Vol. 5 ›› Issue (1) : 62 -68.

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Journal of Marine Science and Application ›› 2006, Vol. 5 ›› Issue (1) : 62 -68. DOI: 10.1007/s11804-006-0050-7
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Application of the fault diagnosis strategy based on hierarchical information fusion in motors fault diagnosis

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Abstract

This paper has analyzed merits and demerits of both neural network technique and of the information fusion methods based on the D-S (dempster-shafer evidence) Theory as well as their complementarity, proposed the hierarchical information fusion fault diagnosis strategy by combining the neural network technique and the fused decision diagnosis based on D-S Theory, and established a corresponding functional model. Thus, we can not only solve a series of problems caused by rapid growth in size and complexity of neural network structure with diagnosis parameters increasing, but also can provide effective method for basic probability assignment in D-S Theory. The application of the strategy to diagnosing faults of motor bearings has proved that this method is of fairly high accuracy and reliability in fault diagnosis.

Keywords

neural network / information fusion / dempster-shafer evidence theory / fault diagnosis / motor

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Xia Li, Fei Qi. Application of the fault diagnosis strategy based on hierarchical information fusion in motors fault diagnosis. Journal of Marine Science and Application, 2006, 5(1): 62-68 DOI:10.1007/s11804-006-0050-7

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