Call for Paper - January 2024 Edition
IJCA solicits original research papers for the January 2024 Edition. Last date of manuscript submission is December 20, 2023. Read More

On-Line Monitoring and Diagnostic System for Turbine-Generator Sets

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 2
Year of Publication: 2014
Firas M. Tuaimah
F. J. Al-azawi
Mohammed K. Hadi

Firas M Tuaimah, F and Mohammed K Hadi. Article: On-Line Monitoring and Diagnostic System for Turbine-Generator Sets. International Journal of Computer Applications 89(2):56-61, March 2014. Full text available. BibTeX

	author = {Firas M. Tuaimah and F. and Mohammed K. Hadi},
	title = {Article: On-Line Monitoring and Diagnostic System for Turbine-Generator Sets},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {2},
	pages = {56-61},
	month = {March},
	note = {Full text available}


This paper presents a computational methodology to monitor and diagnose electrical faults in large machines, like turbogenerators. To accommodate monitoring requirements, a mathematical model for the turbogenerator is derived based on the magnetic coupled approach. The turbogenerator stator and rotor currents were the guides in fault diagnosis. Digital Signal Processing techniques were applied for current feature detection and recognition. Results obtained show that such approach of condition monitoring initiates necessary alarms to the operator, as the faults develops, which may help in preventing catastrophic failures of the turbogenerators.


  • P. J. Tavner, B. G. Gaydon, and D. M. Ward: Monitoring generators and large motors, IEE Proceedings, Vol. 133, Pt. B. No. 3, May 1986.
  • Peter J. Tavner and James Penman: Condition monitoring of electrical machines, John Wiley & Sons, 1987.
  • Muhlhaus, J. , Ward, D. M. and Lodge, I. : The detection of shorted turns in generator rotor windings by measurement of circulating stator currents, Proc. of Int. Conf. On Electrical Machines-Design and applications, IEE, London, Conference Publn. 254, September 1985, pp 100-103.
  • Nabil A. A. , Hamid A. T. : A Novel Method for Modeling Dynamic Air Gap Eccentricity in Synchronous Machines Based on Modified Winding Function Theory, IEEE Trans. Energy Conversion, Vol. 13, pp. 156-162, June 1998.
  • A. E. Fitzgerald, Charles Kingsley, JR. , Alexander Kusko: Electric Machinery, McGraw-Hill Kogakusha, 1971.
  • F. J. AL-Azzawi: A training course on stability of electrical power systems, Amman-Jordan, August 1996.
  • D. O'kelly and Simmons: Introduction to generalized electrical machine theory, 1968.
  • C. Emmanouilidis, Dr. J. Maclntyre, Prof. C. Cox. : Neurofuzzy computing aided machine fault diagnosis. Proc. of JCIS'98, The fourth joint conference on information sciences. Research Triangle Park, North Carolina, USA, Vol. 1. pp. 027-210. 1998.
  • Scott E Umbaugh: Computer Vision and Image Processing: a practical approach using CVIP tools, Prentice Hall 1998.
  • Statistics toolbox for use with MATLAB, version 2, Mathworks, March 1996.