Fault diagnosis of high speed rolling element bearings due to localized defects using response surface method

Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

Volumn 133, Issue 3, 2011, Pages

  Kankar, P K ^a   Sharma, Satish C ^a   Harsha, S P ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

design of experiments; fault diagnosis; nonlinear stiffness; radial internal clearance; response surface method; rolling element bearings

Indexed keywords

FAULT DIAGNOSIS; NONLINEAR STIFFNESS; RADIAL INTERNAL CLEARANCE; RESPONSE SURFACE METHOD; ROLLING ELEMENT BEARINGS;

BEARING PADS; BEARINGS (STRUCTURAL); DESIGN OF EXPERIMENTS; DYNAMIC RESPONSE; MATHEMATICAL MODELS; SPECTROSCOPY; STIFFNESS; SURFACE PROPERTIES;

SURFACE DEFECTS;

EID: 79955530262     PISSN: 00220434     EISSN: 15289028     Source Type: Journal    
DOI: 10.1115/1.4003371     Document Type: Article

References (22)

1. Chow, M., Mangum, P. M., and Yee, S. O., 1991, "A Neural Network Approach to Real-Time Condition Monitoring of Induction Motors," IEEE Trans. Ind. Electron., 38, pp. 448-453.
2. Alguindigue, I. E., Loskiewicz-Buczak, A., and Uhrig, R. E., 1993, "Monitoring and Diagnosis of Rolling Element Bearings Using Artificial Neural Networks," IEEE Trans. Ind. Electron., 40, pp. 209-217.
3. McCormick, A. C., and Nandi, A. K., 1997, "Classification of the Rotating Machine Condition Using Artificial Neural Networks," Proc. Inst. Mech. Eng., Part C: J. Mech. Eng. Sci., 211, pp. 439-450. (Pubitemid 127769415)
4. McCormick, A. C., and Nandi, A. K., 1997, "Real-Time Classification of Rotating Shaft Loading Conditions Using Artificial Neural Networks," IEEE Trans. Neural Netw., 8, pp. 748-757. (Pubitemid 127767815)
5. Tse, P. W., and Atherton, D. P., 1999, "Prediction of Machine Deterioration Using Vibration Based Fault Trends and Recurrent Neural Networks," ASME J. Vibr. Acoust., 121, pp. 355-362.
6. Samanta, B., and Al-Balushi, K. R., 2003, "Artificial Neural Network Based Fault Diagnostics of Rolling Element Bearings Using Time-Domain Features," Mech. Syst. Signal Process., 17(2), pp. 317-328.
7. Samanta, B., 2004, "Gear Fault Detection Using Artificial Neural Networks and Support Vector Machines With Genetic Algorithms," Mech. Syst. Signal Process., 18, pp. 625-644.
8. Jack, L. B., and Nandi, A. K., 2002, "Fault Detection Using Support Vector Machines and Artificial Neural Network, Augmented by Genetic Algorithms," Mech. Syst. Signal Process., 16, pp. 373-390. (Pubitemid 40000347)
9. Samanta, B., Al-Balushi, K. R., and Al-Araimi, S. A., 2003, "Artificial Neural Network and Support Vector Machine With Genetic Algorithm for Bearing Fault Detection," Eng. Applic. Artif. Intell., 16, pp. 657-665.
10. Sugumaran, V., Muralidharan, V., and Ramachandran, K. I., 2007, "Feature Selection Using Decision Tree and Classification Proximal Support Vector Machine for Fault Diagnostic of Roller Bearing," Mech. Syst. Signal Process., 21(2), pp. 930-942. (Pubitemid 44679818)
11. Hu, Q., He, Z., Zhang, Z., and Zi, Y., 2007, "Fault Diagnosis of Rotating Machinery Based on Improved Wavelet Package Transform and SVM Ensemble," Mech. Syst. Signal Process., 21(2), pp. 688-705. (Pubitemid 44667414)
12. Wang, W. Q., Golnaraghi, M. F., and Ismail, F., 2004, "Prognosis of Machine Health Condition Using Neuro-Fuzzy Systems," Mech. Syst. Signal Process., 18, pp. 813-831.
13. Wang, W., Ismail, F., and Golnaraghi, F., 2004, "A Neuro-Fuzzy Approach to Gear System Monitoring," IEEE Trans. Fuzzy Syst., 12, pp. 710-723.
14. Gallina, A., Martowicz, A., and Uhl, T., 2006, "An Application of Response Surface Methodology in the Field of Dynamic Analysis of Mechanical Structures Considering Uncertain Parameters," ISMA 2006 Conference, Leuven, Belgium.
15. Liang, X., Lin, Z., and Zhu, P., 2007, "Acoustic Analysis of Damping Structure With Response Surface Method," Appl. Acoust., 68, pp. 1036-1053. (Pubitemid 46782694)
16. Kankar, P. K., Harsha, S. P., Kumar, P., and Sharma, S. C., 2009, "Fault Diagnosis of a Rotor Bearing System Using Response Surface Method," Eur. J. Mech. A/Solids, 28, pp. 841-857.
17. Ghafari, S. H., Golnaraghi, F., and Ismail, F., 2008, "Effect of Localized Faults on Chaotic Vibration of Rolling Element Bearings," Nonlinear Dyn., 53(4), pp. 287-301.
18. Harsha, S. P., and Kankar, P. K., 2005, "Nonlinear Dynamic Analysis of a Complex Rotor Bearing System," Int. J. Acoust. Vib., 10(1), pp. 33-39. (Pubitemid 40539423)
19. Harris, T. A., and Kotzalas, M. N., 2007, Advanced Concepts of Bearing Technology, CRC, New York.
20. Arslan, H., and Aktürk, N., 2008, "An Investigation of Rolling Element Vibrations Caused by Local Defects," ASME J. Tribol., 130(4), p. 041101.
21. Myers, R. H., and Montgomery, D. C., 2002, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 2nd ed., Wiley, New York.
22. Nayfeh, A. H., and Balachandran, B., 1995, Applied Nonlinear Dynamics: Analytical, Computational and Experimental Methods, Wiley, New York.