Fault Diagnosis of Shearer Based on Fuzzy Inference

Abstract:

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The purpose of this study is to provide a correct and timely diagnosis mechanism of shearer failures by knowledge acquisition through a fuzzy inference system which could approximate expert experience. Concerning a question of uncertain knowledge expression and reasoning in shearer malfunction, the fuzzy inference theory is used in shearer malfunction fault diagnosis. The fuzzy relation matrix of faults and signs is deduced based on deep research of failure mechanism and expert experience, which agrees with fault and fault symptoms non one-to-one relationship and human thinking. Fault characteristic parameter is calculated to corresponding subordinate degree, then is operated with fuzzy relation matrix and get fault fuzzy vector. Finally, the shearer malfunction fault is diagnosed according to certain diagnosis principle. The example proves that the method has less calculation, explicit conclusion and other merits.

Info:

Periodical:

Edited by:

Zhou Mark

Pages:

1577-1580

DOI:

10.4028/www.scientific.net/AMM.52-54.1577

Citation:

F. Gao et al., "Fault Diagnosis of Shearer Based on Fuzzy Inference", Applied Mechanics and Materials, Vols. 52-54, pp. 1577-1580, 2011

Online since:

March 2011

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Price:

$35.00

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