Username   Password       Forgot your password?  Forgot your username? 

Vibration Analysis of Shaft Misalignment and Diagnosis Method of Structure Faults for Rotating Machinery

Volume 13, Number 4, July 2017 - Paper 1  - pp. 337-347
DOI: 10.23940/ijpe.17.04.p1.337347

Zhaoyi Guana, Peng Chena, Xiaoyu Zhanga, Xiong Zhoub, Ke Lic

aDepartment of Biological Resources, Mie University, Mie, 514-8507, Japan
bChongqing University of Science & Technology, China
cJiangnan University, China

(Submitted on January 9, 2017; Revised on May 16, 2017; Accepted on May 24, 2017)

Abstract:

In this paper, two kinds of dynamic models for shaft misalignment of rotating machinery are proposed for vibration analysis and diagnosis of the shaft misalignment state. In order to obtain the solution of the dynamic models and clarify the vibration signal features measured in the shaft misalignment state, the calculation method of vibration forces caused by misalignments is also shown. The results of computer simulation and experiment using the same rotating machine are shown to verify the efficiency of the dynamic analysis method proposed in this paper. Finally, the method for distinguishing structure faults of rotating machines (shaft misalignment state, unbalance state and looseness state) is discussed by using symptom parameters and spectra of the vibration signal measured in these states.

 

References: 21

    1.    Lei, Yaguo, et al, “A review on empirical mode decomposition in fault diagnosis of rotating machinery,” Mechanical Systems and Signal Processing, Vol.35, No.1, pp.108-126, 2013.
    2.    Li, Zhinong, et al, “Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery,” Mechanical Systems and Signal Processing, Vol19, No.2, pp.329-339, 2005.
    3.    Li, Bo, et al, “Neural-network-based motor rolling bearing fault diagnosis,” IEEE Transactions on Industrial Electronics, Vol.47, No.5, pp.1060-1069, 2000.
    4.    Randall, Robert B, “State of the art in monitoring rotating machinery-part 1,” Sound and vibration, Vol.38, No.3, pp.14-21, 2004.
    5.    Jalan, Arun Kr, and A. R. Mohanty, “Model based fault diagnosis of a rotor–bearing system for misalignment and unbalance under steady-state condition,” Journal of Sound and Vibration, Vo.327, No.3, pp.604-622, 2009.
    6.    Patel, Tejas H., and Ashish K. Darpe, “Experimental investigations on vibration response of misaligned rotors,” Mechanical Systems and Signal Processing, Vol.23, No.7, pp.2236-2252, 2009.
    7.    Omitaomu, Olufemi A., et al, “On-Line Prediction of Motor Shaft Misalignment Using Fast Fourier Transform Generated Spectra Data and Support Vector Regression,” Journal of Manufacturing Science and Engineering, Vol.128, No.4, pp.1019-1024, 2006.
    8.    Zhang J, Ma W, Lin J, et al, “Fault diagnosis approach for rotating machinery based on dynamic model and computational intelligence,” Measurement, Vol.59, pp.73-87, 2015.
    9.    He, Guolin, et al, “A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique,” Renewable Energy, Vol.87, pp.364-375, 2016.
    10.    Kusiak, Andrew, and Anoop Verma, “Analyzing bearing faults in wind turbines: A data-mining approach,” Renewable Energy, Vol.48, pp.110-116, 2012.
    11.    Jalan A K, Mohanty A R, “Model based fault diagnosis in rotating machinery [J],” International Journal of Performability Engineering, 7(6): 515-523, 2011.
    12.    Hili M A, Fakhfakh T, Haddar M, “Failure analysis of a misaligned and unbalanced flexible rotor,” Journal of Failure Analysis and Prevention, Vol.6(4), pp.73-82, 2006.
    13.    Betta, Giovanni, et al, “A DSP-based FFT-analyzer for the fault diagnosis of rotating machine based on vibration analysis,” Instrumentation and Measurement Technology Conference, Vol.51, No.6, 2001, pp.1316-1322, 2002.
    14.    Chen P, Toyota T, He Z, “Automated function generation of symptom parameters and application to fault diagnosis of machinery under variable operating conditions,” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, Vol.31(6), pp.775-781, 2001.
    15.    Zigang, L., Jun, J., & Zhui, T. (2016), “Non-linear vibration of an angular-misaligned rotor system with uncertain parameters.” Journal of Vibration and Control, 22(1), 129-144.
    16.    Hili, Molka Attia, et al, “Shaft misalignment effect on bearings dynamical behavior,” The International Journal of Advanced Manufacturing Technology, Vol.26, No.5, pp.615-622, 2005.
    17.    Lee Y S, Lee C W, “Modelling and vibration analysis of misaligned rotor-ball bearing systems [J],” Journal of Sound and Vibration, 224(1): 17-32, 1999.
    18.    Hussain V M S, Naikan V N A, “Reliability Modeling of Rotary Systems Subjected to Imbalance [J],” International Journal of Performability Engineering, 9(4): 423-432, 2013.
    19.    Jalan A K, Mohanty A R, “Model Based Fault Identification of Unbalance and Misalignment Simultaneously Present in a Rotor System [J],” Advances in Vibration Engineering, 12(1): 23-32, 2013.
    20.    Butcher, John Charles, “The Numerical Analysis of Ordinary Differential Equations: Runge–Kutta and General Linear Methods (J. C. Butcher),” Wiley-Interscience, 1987.
    21.    Frank P M, “Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results,” Automatica, Vol.26(3), pp.459-474, 1990.

       

      Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

       
      This site uses encryption for transmitting your passwords. ratmilwebsolutions.com