Bearing and gear fault diagnosis using adaptive wavelet transform of vibration signals

Procedia Engineering

Volumn 50, Issue , 2012, Pages 265-274

  Jena, D P ^a   Panigrahi, S N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BHUBANESWAR   (India)

Author keywords

Adaptive wavelet; Bearing defect; Condition monitoring; Continous wavelet transform (CWT); Gear defect

Indexed keywords

EID: 84879321946     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2012.10.031     Document Type: Conference Paper

References (15)

1. Wang Y, Liang M. Identi cation of multiple transient faults based on the adaptive spectral kurtosis method, J Sound Vib 2012; 331; 470 86.
2. Wu JD, Chen JC. Continuous wavelet transform technique for fault signal diagnosis of internal combustion engines, NDT&E Int 2006; 39; 304-11.
3. Vecer P, Kreidl M, míd R. Condition Indicators for Gearbox Condition Monitoring Systems, Acta Polytech 2005; 45(6); 35-43.
4. Dron J, Bolaers F, Rasolofondraibe I. Improvement of the sensitivity of the scalar indicators (crest factor, kurtosis) using a de-noising method by spectral subtraction: application to the detection of defects in ball bearings, J Sound Vib 2004; 270; 61 73.
5. Khorrami H, Moavenian M. A comparative study of dwt, cwt and dct transformations in ecg arrhythmias classification, Expert Syst Appl 2010; 37; 5751 57.
6. Chen HX, Chua Patrick SK, Lim GH. Adaptive wavelet transform for vibration signal modelling and application in fault diagnosis of water hydraulic motor, Mech Syst Signal Pr 2006; 20; 2022-45.
7. Baydar N, Ball A. Detection of gear failures via vibration and acoustic signals using wavelet transform, Mech Syst Signal Pr 2003; 17(4); 787-804.
8. Kankar PK, Sharma SC, Harsha SP. Fault diagnosis of ball bearings using continuous wavelet transform, Appl Soft Comput 2011; 11; 2300-12.
9. Al-Badour F, Sunar M, Cheded L. Vibration analysis of rotating machinery using time frequency analysis and wavelet techniques, Mech Syst Signal Pr 2011; 25; 2083-2101.
10. Belsak A, Flasker J. Determining cracks in gears using adaptive wavelet transform approach, Eng Fail Anal 2010; 17(3); 664-71.
11. Misiti M, Misiti Y, Oppenheim G, Poggi JM. Wavelets and theirApplications. 3rd ed. France: Hermes Science; 2003.
12. Taylor JI. The vibration analysis hand book. 2nd ed. USA: Vibration Consultants; 2003.
13. Abdullah M, Al-Ghamd, D. A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size, Mech Syst Signal Pr 2006; 20(7); 1537-71.
14. Liu W, Tang B. A hybrid time-frequency method based on improved Morlet wavelet and auto terms window. Expert Syst Appl 2011; 38; 7575-81.
15. Konar P, Chattopadhyay P. Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs). Appl Soft Comput 2011; 11; 4203-11.