Artificial neural network prediction and quantification of damage in impeller shaft using finite element simulation

International Journal of COMADEM

Volumn 9, Issue 1, 2006, Pages 23-29

  Vijayakumar, Sahadevan ^a   Muthukumar, S ^b  

^a ISAE Supméca Institut Supérieur de Mécanique de Paris   (France)

^b C ABDUL HAKEEM COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

ANN; Damage detection; Finite element modelling; Frequency response functions; Impeller shaft

Indexed keywords

COMPUTER SIMULATION; FINITE ELEMENT METHOD; FREQUENCY RESPONSE; IMPELLERS; MATHEMATICAL MODELS; SHAFTS (MACHINE COMPONENTS);

DAMAGE DETECTION; FINITE ELEMENT MODELING; FREQUENCY RESPONSE FUNCTIONS; IMPELLER SHAFTS;

NEURAL NETWORKS;

EID: 33744814112     PISSN: 13637681     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. R.G. Culham (2001) Fans: reference guide, Ontario power generation, Canada.
2. Power Station Fans Booklet, 2003. TLT-Turbo GmbH, Germany.
3. D. Banyay, L. Gutzwiller (1982) Measuring the natural frequencies of component parts of industrial fan impellers, Proceedings of International Conference on Fan Design & Applications, UK, 52-62.
4. N.I. Bouraou, P.I. Marchuk, A.N. Tyapchenko (2000) Condition monitoring diagnosis method of aircraft engine rotating details, Proceedings of 15th World Conference on Non Destructive Testing, Italy, 15-21.
5. B.O. Al-Bedoor, Blade vibration measurement in turbo-machinery: current status, The Shock and Vibration Digest, 34(6) (2002) 455-461.
6. S. Ankur (2003) Fault identification in rotating machinery using neural networks and virtual instrumentation, M.Tech thesis, Indian Institute of Technology, Kanpur, India.
7. I. Green, C. Casey (2003) Crack detection in a rotor dynamic system by vibration monitoring Part I: Analysis, Proceedings of ASME Tarbo Expo on Power for Land, Sea and Air, Atlanta, USA, GT-38659.
8. G. Sabnavis, R.G. Kirk, M. Kasarada, D. Quinn, Cracked shaft detection and diagnostics: A literature review, The Shock and Vibration Digest, 36 (4) (2004) 287-296.
9. R. Goldthwaite, Emerging horizons of turbo machinery technology, SPIN - The Technical Journal of Concepts Inc., 7(2) (1998) 1-3.
10. S. Muthukumar (2004) Finite element modeling of a impeller shafts for radial fans, M.Eng Thesis, Government College of Engineering, Salem, India.
11. ANSYS Users Manual, 2003. SAS IP Inc., USA.
12. S. Edwards, A.W. Lees, M.I. Friswell, The influence of torsion on rotor/stator contact in rotating machinery, Journal of Sound and Vibration, 225(4) (1999) 767-778.
13. W. William, V.P. Seto (2000) Mechanical Vibrations, Dhanpat Rai & Co., New Delhi.
14. S.K. Nandi, C. Padmanabhan (2002) Sub-structuring based rotor dynamic analysis of gas turbine engine, Proceedings of 2nd International Conerence on Vibration Engineering and Technology of Machinery, Bangalore, India, 56-64.
15. Z. Waszczyszyn (2000) Neural networks in structural engineering: some recent results and prospects for applications, Computational Mechanics for the 21st century (Ed. B.H.V. Topping), Saxe -Coburg Publications, UK, 479-515.
16. R. Ganesan, J. Jionghua, T.-S. Sankar, A classifier neural network for rotor dynamic systems, Mechanical Systems and Signal Processing, 9 (4) (1995) 397-414.
17. O. Jovanovic, Identification of dynamic system using neural network, Facta Universitatis, 1 (1997) 525-532.
18. Matlab User's Manual, 2003. The Math works Inc., USA.