Experimental analysis on fault detection for a direct coupled rotor-bearing system

Rotating machinery is becoming faster and lightweight due to the advanced technologies made in engineering and materials sciences. It is required them to run for longer periods of time. All of these factors mean that the detection, location and analysis of faults play a vital role in highly reliable operations. Using vibration analysis, the condition of a machine can be periodically monitored. In this study, dynamic behavior of a direct coupled rotor-bearing system is investigated. Experimental vibration analyses in the vertical direc- tion of the system are implemented. Vibration monitoring with trend analysis and spec- trum graphs are employed to diagnose the excessive vibration source(s). It is seen that the rotating machineries can have one or more vibration sources. The vibration values obtained from each bearing show that the main excessive vibration sources in the system stem from mechanical looseness and misalignment.

[1]  Z. C. Feng,et al.  Rubbing phenomena in rotor–stator contact , 2002 .

[2]  Zhengce Sun,et al.  Analysis on complicated characteristics of a high-speed rotor system with rub-impact , 2002 .

[3]  B. O. Al‐Bedoor Modeling the coupled torsional and lateral vibrations of unbalanced rotors , 2001 .

[4]  F. Chu,et al.  Experimental determination of the rubbing location by means of acoustic emission and wavelet transform , 2001 .

[5]  G. Jang,et al.  Nonlinear excitation model of ball bearing waviness in a rigid rotor supported by two or more ball bearings considering five degrees of freedom , 2001 .

[6]  Fulei Chu,et al.  DETERMINATION OF THE RUBBING LOCATION IN A MULTI-DISK ROTOR SYSTEM BY MEANS OF DYNAMIC STIFFNESS IDENTIFICATION , 2001 .

[7]  Eric J. Hahn,et al.  Transient rotordynamic modeling of rolling element bearing systems , 2001 .

[8]  Menderes Kalkat,et al.  RETRACTED: Design of artificial neural networks for rotor dynamics analysis of rotating machine systems , 2005 .

[9]  Frithiof I. Niordson Dynamics of Rotors , 1975 .

[10]  O. Prakash,et al.  EFFECT OF RADIAL INTERNAL CLEARANCE OF A BALL BEARING ON THE DYNAMICS OF A BALANCED HORIZONTAL ROTOR , 2000 .

[11]  Xue Jun Li,et al.  Using bispectral distribution as a feature for rotating machinery fault diagnosis , 2011 .

[12]  A. S. Sekhar,et al.  Identification of unbalance in a rotor bearing system , 2011 .

[13]  H. Taplak,et al.  RETRACTED ARTICLE: Vibration response of rotating mechanical systems using experimental techniques and artificial neural networks , 2005 .

[14]  Q. Ding,et al.  Nonstationary Motion and Instability of a Shaft/Casing System with Rubs , 2001 .

[15]  O. Prakash,et al.  DYNAMIC RESPONSE OF AN UNBALANCED ROTOR SUPPORTED ON BALL BEARINGS , 2000 .

[16]  N Q Hu,et al.  Chaotic behaviour identification of a rub-impact rotor using short-term predictability of measured data , 2002 .

[17]  Şahin Yildirim,et al.  An artificial neural network application to fault detection of a rotor bearing system , 2006 .

[18]  Paresh Girdhar Practical Machinery Vibration Analysis and Predictive Maintenance , 2004 .

[19]  Fulei Chu,et al.  FEATURE EXTRACTION OF THE RUB-IMPACT ROTOR SYSTEM BY MEANS OF WAVELET ANALYSIS , 2003 .

[20]  G. H. Jang,et al.  Analysis of a Ball Bearing With Waviness Considering the Centrifugal Force and Gyroscopic Moment of the Ball , 2003 .

[21]  B. O. Al-Bedoor TRANSIENT TORSIONAL AND LATERAL VIBRATIONS OF UNBALANCED ROTORS WITH ROTOR-TO-STATOR RUBBING , 2000 .

[22]  Xuening Zhang,et al.  DYNAMIC BEHAVIOR OF THE FULL ROTORSTOP RUBBING: NUMERICAL SIMULATION AND EXPERIMENTAL VERIFICATION , 2002 .

[23]  F. Lin,et al.  Numerical Investigation With Rub-Related Vibration in Rotating Machinery , 2001 .

[24]  Jerzy T. Sawicki,et al.  Detecting cracked rotors using auxiliary harmonic excitation , 2011 .