지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.2 No.3
- 발행연도
- 2007.9
- 수록면
- 353 - 357 (5page)
이용수
초록· 키워드
오류제보하기
The bearing diagnostics method is presented in this paper using fuzzy inference based on vibration data. Both time-domain and frequency-domain features are used as input data for bearing fault detection. The Adaptive Network based Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA) have been proposed to select the fuzzy model input and output parameters. Training results give the optimized fuzzy inference system for bearing diagnosis based on measured vibration data. The result is also tested with other sets of bearing data to illustrate the reliability of the chosen model.
목차
Abstract
1. Introduction
2. Adaptive Network-based Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA)
3. Bearing Vibration Features
4. Training and Experiment Results
5. Conclusion
Acknowledgements
References
참고문헌 (13)
참고문헌 신청
, 2006. , Artificial neural networks and genetic algorithm for bearing fault detection 10 : 264 ~ 271
, 2004. , Bearing fault diagnosis based on wavelet transform and fuzzy inference 18 : 1077 ~ 1095
, 200 , Artificial neural network based fault diagnostics of rolling element bearings using time-domain features 17 : 317 ~ 328
, 200 , A method for intelligent fault diagnosis of rotating machinery 14 : 203 ~ 217
, 2006. , Mechanical fault diagnostics for induction motor with variable speed drives using Adaptive Neuro-fuzzy Inference System 76 : 742 ~ 752
, 2004. , Bearing fault diagnosis based on wavelet transform and fuzzy inference 18 : 1077 ~ 1095
, 200 , Artificial neural network based fault diagnostics of rolling element bearings using time-domain features 17 : 317 ~ 328
, 200 , A method for intelligent fault diagnosis of rotating machinery 14 : 203 ~ 217
, 2006. , Mechanical fault diagnostics for induction motor with variable speed drives using Adaptive Neuro-fuzzy Inference System 76 : 742 ~ 752
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UCI(KEPA) : I410-ECN-0101-2009-560-019119757