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Abstract
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Article Information:
Cosine Similarity Measure between Vague Sets and Its Application of Fault Diagnosis
Zhi-Kang Lu and Jun Ye
Corresponding Author: Zhi-Kang Lu
Submitted: January 05, 2013
Accepted: February 08, 2013
Published: August 10, 2013 |
Abstract:
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In order to propose a novel cosine similarity measure between vague sets and to apply it to the fault diagnosis of turbine, a new similarity measure value between a testing sample and the knowledge of system faults is evaluated in the vibration fault diagnosis of turbine. The testing sample is near to a type of fault knowledge if the measure value is big. Thus, the type of vibration fault is determined according to the maximum measure value (more than some threshold). The fault-diagnosis problems of the turbine are investigated by use of the proposed cosine similarity measure. The results demonstrate that the proposed method not only diagnoses the main fault types of the turbine, but also provides useful information for multi-fault analyses and future trends. Therefore, the proposed method is reasonable and effective and provides another useful tool for fault analyses.
Key words: Cosine similarity measure, fault diagnosis, turbine, vague set, vibration fault, ,
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Abstract
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Cite this Reference:
Zhi-Kang Lu and Jun Ye, . Cosine Similarity Measure between Vague Sets and Its Application of Fault Diagnosis. Research Journal of Applied Sciences, Engineering and Technology, (14): 2625-2629.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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