Improvement and Application of Fan Fault Diagnosis of Power Plant Based on Fuzzy Rules

Chang Liang Liu; Xin Tong Yao

doi:10.4028/www.scientific.net/AMR.986-987.1518

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 986-987Improvement and Application of Fan Fault Diagnosis...

Improvement and Application of Fan Fault Diagnosis of Power Plant Based on Fuzzy Rules

Abstract:

In view of the nonlinear, fuzzy relationship between fan fault reason and fault symptom, put forward a kind of threshold diagnosis strategy combined with fuzzy rules and case reasoning. Using a fan fault vector through fuzzy fault diagnosis model to compare with a given threshold, then generate the initial fault solution set, and finally using case-based reasoning thinking, accurate fault location. Then we verify the method’s effectiveness through a fault analysis of fan rotor vibration. The results show that the combination with fuzzy rules and case reasoning can effectively solve the problem of multi factors of failure reasons.

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Energy Research and Power Engineering 2014

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Periodical:

Advanced Materials Research (Volumes 986-987)

Pages:

1518-1522

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.986-987.1518

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Online since:

July 2014

Authors:

Chang Liang Liu*, Xin Tong Yao

Keywords:

Case-Based Reasoning, Fan, Fault Diagnosis, Fuzzy Matrix

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