Fault Diagnosis of Tapered Bearing in Elevator Worm Gear Reducer Based on Vibration Signal
Pages 505 - 510
Abstract
With the large-scale put into use of the elevator, the elevator fault has also increased, so it is also necessary to diagnose the elevator fault. Through the collected vibration signal of the elevator can reflect the running state of the elevator, so as to carry out targeted maintenance of the elevator. In this paper, the problem of tapered bearing in elevator worm gear reducer is studied. Fast Fourier transform, BP neural network and support vector machine are used to process the original signal. Firstly, the original signal is transformed into frequency domain signal by Fast Fourier transform, and then thirteen features are extracted in the frequency domain. Finally, BP neural network and support vector machine are used to build and train respectively. This paper discusses which method is more effective, BP neural network or support vector machine.
References
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W. Xiaolun and X. Zhang, "Research on Elevator Braking Failure Assessment Model Based on Fishbone Diagram and AHP," 2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE), Beijing, China, 2020, pp. 260-263.
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Published In
November 2023
764 pages
ISBN:9798400708299
DOI:10.1145/3640115
Copyright © 2023 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 March 2024
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ICITEE 2023
ICITEE 2023: 6th International Conference on Information Technologies and Electrical Engineering
November 3 - 5, 2023
Changde, Hunan, China
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