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A Malfunction Pattern Distinction of an Automotive Electric part by Sound and Vibration Frequency Analysisopen accessA Malfunction Pattern Distinction of an Automotive Electric part by Sound and Vibration Frequency Analysis
- Other Titles
- A Malfunction Pattern Distinction of an Automotive Electric part by Sound and Vibration Frequency Analysis
- Authors
- 심한섭
- Issue Date
- 2021
- Publisher
- 한국기계가공학회
- Keywords
- 전동부품; 소음진동; 분석 FFT; 고장 분석; 시험평가; Electric Powered Part; Noise and Vibration; FFT Analysis( ); Malfunction Analysis; Test and Evaluation
- Citation
- 한국기계가공학회지, v.20, no.12, pp 107 - 112
- Pages
- 6
- Indexed
- KCI
- Journal Title
- 한국기계가공학회지
- Volume
- 20
- Number
- 12
- Start Page
- 107
- End Page
- 112
- ISSN
- 1598-6721
2288-0771
- Abstract
- The usage of electric-powered components consisting of several electrical and mechanical parts is continuously increasing in automobiles. Therefore, continuous assessment of the reliability and quality of these electric-powered parts is crucial. In this study, a noise and vibration measurement system for testing and evaluating the different electric-powered parts of automobiles was designed. Further, an FFT analysis was performed on some electric-powered steering assembly test equipment. In the FFT analysis of the noise and vibration signals for each essential fault part, the vibration FFT analysis was significantly compared with the noise analysis. The results showed that the vibration FFT analysis was more effective in determining the reliability and quality of the electric-powered parts.
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