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관형 철탑 볼트 풀림 진단을 위한 음향방출 신호의 특징 분석
Feature Analysis of Acoustic Emission Signals for Diagnosis of Loosened Bolt in Tubular Steel Tower
- 박계륜;
- 이정준;
- 유현탁;
- 문영빈;
- 김현식;
- ... 최병근;
- 외 1명
초록
We conducted an acoustic emission test for the loosened bolt diagnosis of tubular steel towers. Signal processing techniques and machine learning were applied to acoustic emission signals to confirm the classification possibility of the bolt fastening strength. Consequently, a clear difference between the fastened condition of the bolt and the loosened condition was observed; however, signals with different bolt fastening strengths were not classified. In this process, it was confirmed that the bolt fastening strength was classified up to 74.3N·m using a band-pass filter. In conclusion, we confirmed the performance possibility of the loosened bolt diagnosis through acoustic emission signals.
키워드
관형철탑; 고장 진단; 음향방출; 기계학습; Tubular Steel Tower; Fault Diagnosis; Acoustic Emission; Machine Learning
- 제목
- 관형 철탑 볼트 풀림 진단을 위한 음향방출 신호의 특징 분석
- 제목 (타언어)
- Feature Analysis of Acoustic Emission Signals for Diagnosis of Loosened Bolt in Tubular Steel Tower
- 저자
- 박계륜; 이정준; 유현탁; 문영빈; 김현식; 김춘배; 최병근
- 발행일
- 2022-04
- 저널명
- 한국소음진동공학회논문집
- 권
- 32
- 호
- 2
- 페이지
- 195 ~ 203