Abstract
The motor current parameters of electric gate valve were studied to avoid the disadvantages of strain sensor application, to realize the development of electric gate valve monitoring and fault diagnosis technology from offline monitoring and manual diagnosis to online monitoring and computer diagnosis. The time-domain and frequency-domain indicators from the current curve were extracted to form a standard pattern characteristic matrix, the faults were analyzed and reasoned by using fuzzy pattern recognition technology, and the valve faults were identified according to the quantified closeness data, which improves the intuitiveness and reliability of fault diagnosis.
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This article is supported by National Natural Science Foundation of China (No. 2017ZX06002001).
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Zhou, Q., Shen, H., Le, X., Song, C. (2022). Research on Electric Gate Valve On-Line Fault Diagnosis Method Based on Fuzzy Pattern Recognition. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_43
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DOI: https://doi.org/10.1007/978-3-030-81007-8_43
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