Automatic Fault Diagnosis Method for Hydrodynamic Control System

Authors

DOI:

https://doi.org/10.13052/ijfp1439-9776.2233

Abstract

In order to improve the accuracy and speed of fault data acquisition of fluid power control system, this paper designs an automatic fault diagnosis method of fluid power control system based on English translation speech recognition. Firstly, the SDG model of the fluid dynamic control system is established, and the fault link is obtained and determined. Then the correlation dimension of data in fluid mechanics calculation is analyzed, and the fault data location is realized. On this basis, the fault classification model of the hydraulic power control system is established, and the automatic fault diagnosis of the hydraulic power control system is completed. Experiments show that the new fault diagnosis method can effectively improve the accuracy and speed of fault data acquisition of fluid power control system, the highest accuracy can reach 89.92%, the fastest speed is 11s, and improve the reliability of fault diagnosis results.

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Author Biography

Jin Zheng, Yellow River Conservancy Technical Institute, Kaifeng, Henan, China

Jin Zheng has been engaged in English teaching for more than 14 years. She has taught courses such as intensive reading, extensive reading, scientific and technical English translation, and practical writing. In recent years, he has presided over 6 provincial scientific research items, and 5 of which have won the first prize. She has published more than 10 academic papers, edited four textbooks and academic monographs, one set of textbooks was selected into the national eleventh five-year planning textbooks.

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Published

2021-07-19

Issue

Section

Fluid Power Components & Systems