Skip Navigation Links
Journal of Vibration Testing and System Dynamics

C. Steve Suh (editor), Pawel Olejnik (editor),

Xianguo Tuo (editor)

Pawel Olejnik (editor)

Lodz University of Technology, Poland


C. Steve Suh (editor)

Texas A&M University, USA


Xiangguo Tuo (editor)

Sichuan University of Science and Engineering, China


Mathematical Validation of Power Loss due to Mechanical Vibration in Rotating Equipment

Journal of Vcibration Testing and System Dynamics 4(3) (2020) 269--278 | DOI:10.5890/JVTSD.2020.09.004

Mukesh A Bulsara, Ruship Trivedi

Mechanical Engineering Department., G H Patel College of Engineering and Technology, Vallabh Vidyanagar, Gujarat, India

Download Full Text PDF



Rotating equipment like pump, blower, fan etc. are widely used in industries, where high vibration levels are observed specifically caused due to unbalance in rotating parts. A survey of literature has shown that, in spite of growing concerns about the effect of vibration levels on the power consumption, little research has been done to correlate the vibration level with power loss due to vibration. In a large refinery, with hundreds of pumps and motors, the wasted power cost, due to vibrations alone may run into thousands of dollars. The objective of this work is to propose a systematic mathematical analysis to predict the effect of unbalance on the power loss in a rotor-shaft system and validate with experiments performed on a laboratory setup at different speeds. It is observed that as rotational speed and degree of unbalance is increased, power consumption also increases. Power loss due to different degree of unbalance viz 60, 120 and 180 was measured experimentally on a test setup comprising of rotor-shaft system and mathematical validation is presented for the same. Power loss mainly takes place due to friction in bearings, which is attributed to centrifugal force produced by unbalance and displacement of rotor-shaft system. Calculated power loss is in close range of power loss determined experimentally.


Authors acknowledge help extended by G H Patel College of Engineering and Technology for providing infrastructure facilities for conducting experiment. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.


  1. [1]  Birajdar, R., Khanzode, K., and Patil, R. (2009), Vibration and noise in centrifugal pumps - sources and diagnosis methods, 3rd Int. Conference on Integrity, Reliability and Failure, Porto/Portugal, 20-24 July 2009, S1163, 0437.
  2. [2]  Bulsara, M.A., Hingu, A.D., and Vaghasiya, P.S. (2016), Energy loss due to unbalance in rotor–shaft system, Journal of Engineering, Design and Technology, 14(2), 277-285.
  3. [3]  Elkhatib, A. (2007), Energy consumption and machinery vibrations, Int. Conference on Sound and Vibrations, ICSV14, Cairns, Australia, 9-12 July 2007, 1-6.
  4. [4]  Gaberson, H.A. (1996), Rotating machinery energy loss due to misalignment, Energy Conversion Engineering Conference, IECEC96, Washington DC, USA, 11-16 August 1996, 1809-1812.
  5. [5]  Ganesh, K.D. and Manigandan, T. (2012), Investigations on heavy machinery vibrations and energy loss calculation using Lab VIEW, European Journal of Scientific Research, 77(4), 589-598.
  6. [6]  Hanish, G., Datta, P.K., and Leung, P.S. (2003), Experimental investigation into the behavior of misaligned shafts on balanced rotors, Proceedings of the International Gas Turbine Congress, IGTC2003, Tokyo, 2-7 November 2003, 1-8.
  7. [7]  Jesse, S., Hines, J.W., and Kuropatwinski, J., et al. (1997), Motor shaft misalignment versus efficiency analysis, P/PM Technology Conference, Dallas, Texas, USA, 1-4 December 1997, 10-14.
  8. [8]  Kalmegh, A. and Bhaskar, S. (2012), Dynamic balancing of centrifugal pump impeller, International Journal of Emerging Technology and Advanced Engineering, 2(6), 409-413.
  9. [9]  Rameshkumar, G.R., Rao, B.V.A., and Ramachandran, K.P. (2012), Use of radial basis function neural networks for analysis of unbalance in rotating machinery, International Journal of Innovative Technology and Exploring Engineering, 1(2), 168-171.
  10. [10]  Reddy, M.C.R. and Sekhar, A.S. (2013), Application of artificial neural networks for identification of unbalance and looseness in rotor bearing systems, International Journal of Applied Science and Engineering, 11(1), 69-84.
  11. [11]  Saleem, M.A., Diwakar, G., and Satyanarayana, M.R.S. (2012), Detection of unbalance in rotating machines using shaft deflection measurement during its operation, Journal of Mechanical and Civil Engineering, 3(3), 8-20.
  12. [12]  Taneja, S. (2013), Effect of unbalance on performance of centrifugal pump, International Journal of Scientific and Technology Research, 2(8), 56-60.
  13. [13]  Taneja, S. (2012), The Effect of Unbalance on Bearing Life, IOSR Journal of Mechanical and Civil Engineering, 1(2), 47-54.
  14. [14]  Zhou, S. and Shi, J. (2001), Active balancing and vibration control of rotating machinery: A Survey. The Shock and Vibration Digest, 33(4), 361-371.