Vibration-based fault diagnostic platform for rotary machines

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2010, Pages 1404-1409

  Lim, W Q ^a   Zhang, D H ^a   Zhou, J H ^a   Belgi, P H ^a   Chan, H L ^a  

^a SINGAPORE INSTITUTE OF MANUFACTURING TECHNOLOGY   (Singapore)

Author keywords

Bearing fault; ISO; Misalignment; Vibration based diagnosis

Indexed keywords

BEARING DEFECT; BEARING FAULT; FAULT DIAGNOSIS; FAULT DIAGNOSTICS; FAULTY CONDITION; HIGH SPEED MILLING; HITACHI; HUMAN INTERVENTION; ISO; MAINTENANCE PLANS; MISALIGNMENT; MISALIGNMENT FAULT; OUTER RACES; ROTARY MACHINE; STRUCTURAL RESONANCE; VIBRATION BASED DIAGNOSIS; VIBRATION LEVEL;

ALIGNMENT; BALL BEARINGS; DEFECTS; KNOWLEDGE BASED SYSTEMS; MILLING (MACHINING); REPAIR; RESONANCE; ROTATING MACHINERY;

INDUSTRIAL ELECTRONICS;

EID: 78751488916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2010.5675477     Document Type: Conference Paper

References (16)

1. Zhou, W., Habetler, T.G., and Harley, R.G., "Bearing condition monitoring methods for electric machines: A general review, " Proceedings on IEEE International Symposium on Diagnostics for Electric Machine, Sept. 6 - 8, 2007, Cracow, Poland, pp3-6.
2. McFadden, P.D., and Smith, J.D., "Vibration monitoring of rolling element bearings by the high frequency resonance technique - a review, " Tribology International, 17, 1984, pp3-10.
3. Hai Qiu, Huageng Luo, and Neil Eklund, "Draft: on-board bearing prognostics in aircraft engine: enveloping analysis or FFT?, " Proceedings of the ASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, 2009, pp1-7.
4. Li, J.C., and Ma, J., "Wavelet decomposition of vibrations for detection of bearing-localized defects, " NDT&E International, Vol. 30, No.3, pp143-149, 1997.
5. Peng, Z.K., and Chu, F.L., "Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography, " Mechanical Systems and Signal Processing, 18, 2004, pp199-221.
6. N.Tandon and A. Choudhury., "A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings, " Tribology International 32 (1999) 469-480.
7. Kumaraswamy. S., Rakesh. J and Amol Kumar Nalavade., " Standardization of Absolute Vibration Level and Damage Factors for Machinery Health Monitoring, " Proceedings of VETOMAC-2, 16-18 December, 2002.
8. Irina Trendafilova., "An automated procedure for detection and identification of ball bearing damage using multivariate statistics and pattern recognition, " Mechanical Systems and Signal Processing, in press.
9. Junhong Zhou, Xiang Li, Anton J.R. Andernroomer, Hao Zeng, Kiah Mok Goh, Yoke San Wong, Geok Soon Hong "Intelligent Prediction Monitoring System for Predictive Maintenance in Manufacturing", Proceedings of the 31st Annual Conference of the IEEE Industrial Electronics Society -IECON'05, North Carolina, USA, 6-10 Nov 2005.
10. Jun-hong Zhou Danhong Zhang Arogeti, S.A. Ming Luo Dan Wei Wang, Zhao-wei Zhong, 'iDiagnosis & Prognosis - An intelligent platform for complex manufacturing', Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009, pp 405 - 410, 2009AIM, 14-17 July 2009.
11. Su Myat Marlar Soe and May Paing Paing Zaw., "Design and Implementation of Rule-based Expert System for Fault Management, " World Academy of Science, Engineering and Technology 48 2008.
12. G. Zhang, et al, "A Novel Architecture for an Integrated Fault Diagnostic/Prognostic System", AAAI symposium, 2002.
13. Proha, S., 1996. Using the National Information Infrastructure (NII) for monitoring, diagnostics and prognostics of operating machinery, Proceedings of the 35th IEEE Conference on Decision and Control, p. 2583-7, vol. 3, 11-13.
14. Mechefske, CK, (2005) "Machine Condition Monitoring and Fault Diagnosis, Vibration and Shock Handbook, " Edited by Clarence W. de Silva, CRC Press, Taylor and Francis Group, Boca Raton, Florida, USA, Chapter 25, p25-1 to 25-35.
15. Paul M. Frank., "Fault Diagnosis in Dynamic Systems Using Analytical and Knowledge-based Redundancy - A Survey and Some New Results, " International Federation of Automatic Control, Vol. 26 No. 3, pp. 459-474, 1990.
16. Andrew K.S. Jardine, Daming Lin and Dragan Banjevic., "A review on machinery diagnostics and prognostics implementing condition-based maintenance, " Mechanical Systems and Signal Processing 20 (2006) 1483-1510.