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.12 No.5
- 발행연도
- 2017.9
- 수록면
- 1,955 - 1,962 (8page)
이용수
초록· 키워드
오류제보하기
Induction motors are a workhorse for the industry. The condition monitoring and fault analysis are the main concern for the engineers. The bearing is one of the vital segment of the induction machine and the condition of the whole machine is decided based on the condition of the bearing. In the present paper, the vibration signal of the bearing has been used for the analysis. The first line of action is to perform a statistical analysis of the vibration signal which gives trends in signal. To get the location of a fault in the bearing the second action is to develop an index based on Wavelet Packet Transform node energy named as Bearing Damage Index (BDI). Further, Teager-Kaiser Energy Operator (TKEO) has been calculated from higher index value to get the envelope and finally Power Spectral Density (PSD) has been applied to identify the fault frequencies. A performance index has also been developed to compare the usefulness of the proposed method with other existing methods. The result shows that the strong amplitude of fault characteristics and its side bands help to decide the type of fault present in the recorded signal obtained from the bearing.
목차
Abstract
1. Introduction
2. Theoretical Background
3. Methodology
4. Results and Discussions
5. Conclusions
References
참고문헌 (22)
참고문헌 신청
A. K. S. Jardine, D. Lin, and D. Banjevic, “A Review on Mchinery Diagnostics and Prognostics Implementing Condition-Based Maintenance,” Mech. Syst. Signal Process., vol. 20, no. 7, pp. 1483-1510, Oct. 2006.
S. A. Mortazavizadeh and S. M. G. Mousavi, “A Review on Condition Monitoring and Diagnostic Techniques of Rotating Electrical Machines,” Phys. Sci. Int. J., vol. 4, no. 3, pp. 310-338, 2014.
G. K. Singh, A. Saleh, and A. Kazzaz, “Induction Machine Drive Condition Monitoring and Diagnostic Research - A Survey,” Electr. Power Syst. Res., vol. 64, no. 2, pp. 145-158, 2003.
M. Tsypkin, “Induction Motor Condition Monitoring: Vibration Analysis Technique - a Practical Implementation,” in 2011 IEEE International Electric Machines & Drives Conference, 2011, pp. 406-411.
D.-H. Hwang, Y.-W. Youn, J.-H. Sun, K.-H. Choi, J.-H. Lee, and Y.-H. Kim, “Support Vector Machine Based Bearing Fault Diagnosis for Induction Motors Using Vibration Signals,” J. Electr. Eng. Technol., vol. 10, no. 4, pp. 1558-1565, 2015.
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UCI(KEPA) : I410-ECN-0101-2018-560-001201510