Analysis and research on adaptive Time-Frequency analysis method
Author: 
Mengdi ShiAuthors Info & Claims
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Abstract
Adaptive Time-Frequency analysis method is of great significance for extracting the fault characteristic frequency of actual complex non-stationary signals. Based on this method, this paper innovatively proposes a multi-channel data acquisition system based on LabVIEW to collect the vibration signal of the bearing test-bed; Through the analysis and comparison of EMD, ITD and LCD algorithms, the characteristics of their algorithms are found. The experimental results show that according to the data collected by LabVIEW multi-channel data acquisition system, the adaptive time-frequency method can be effectively selected to identify the faults of rolling bearings, improve the fault detection rate and practicability of the equipment, and ensure the safe and reliable operation of the equipment.
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- Analysis and research on adaptive Time-Frequency analysis method
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Published In
October 2022
753 pages
ISBN:9781450397780
DOI:10.1145/3569966
Copyright © 2022 ACM.
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Association for Computing Machinery
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Published: 20 December 2022
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- Research-article
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- Refereed limited
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- BEIJING POLYTECHNIC
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CSSE 2022
CSSE 2022: 2022 5th International Conference on Computer Science and Software Engineering
October 21 - 23, 2022
Guilin, China
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Overall Acceptance Rate 33 of 74 submissions, 45%
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