Model based fault diagnosis of a rotor–bearing system for misalignment and unbalance under steady-state condition

• Published in: Journal of sound and vibration Vol. 327; no. 3; pp. 604 - 622
• Main Authors: Jalan, Arun Kr, Mohanty, A.R.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 13.11.2009; Elsevier
• Subjects: Applied sciences; Bearings, bushings, rolling bearings; Drives; Exact sciences and technology; Fundamental areas of phenomenology (including applications); Industrial metrology. Testing; Measurement and testing methods; Mechanical engineering. Machine design; Physics; Solid mechanics; Structural and continuum mechanics; Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...); Steady-state conditions; Vibration; Rotating machine; Shaft; Unbalanced conditions; Experimental study; Alignment defect; Modeling; Vibration source; Fault diagnostic; Monitoring; Journal bearing
• ISSN: 0022-460X; 1095-8568
• DOI: 10.1016/j.jsv.2009.07.014

Vibration monitoring is one of the primary techniques of condition monitoring of rotating machines. Shaft misalignment and rotor unbalance are the main sources of vibration in rotating machines. In this study a model based technique for fault diagnosis of rotor–bearing system is described. Using the residual generation technique, residual vibrations are generated from experimental results for the rotor bearing system subject to misalignment and unbalance, and then the residual forces due to presence of faults are calculated. These residual forces are compared with the equivalent theoretical forces due to faults. The fault condition and location of faults are successfully detected by this model based technique.