Acceso abierto

Decomposition Of The Symptom Observation Matrix And Grey Forecasting In Vibration Condition Monitoring Of Machines

International Journal of Applied Mathematics and Computer Science's Cover Image
International Journal of Applied Mathematics and Computer Science
Issues in Fault Diagnosis and Fault Tolerant Control (special issue), Józef Korbicz and Dominique Sauter (Eds.)

Bartelmus W., Zimroz Z. and Batra H. (2003). Gearbox vibration signal preprocessing and input values choice for neural network training, Proceedings of the Conference on AI Methods, Gliwice, Poland.Search in Google Scholar

Cempel C. (1999). Innovative developments in systems condition monitoring, Keynote Lecture, Proceedings of the Conference on Damage Assessment DAMAS'99, Dublin, Ireland, pp. 172-188.Search in Google Scholar

Cempel C., Natke H. G. and Yao J. P. T. (2000). Symptom reliability and hazard for systems condition monitoring, Mechanical Systems and Signal Processing 14(3): 495-505.10.1006/mssp.1999.1246Search in Google Scholar

Cempel C. (2003). Multidimensional condition monitoring of mechanical systems in operation, Mechanical Systems and Signal Processing 17(6): 1291-1303.10.1006/mssp.2002.1573Search in Google Scholar

Cempel C. and Tabaszewski M. (2007). Multidimensional vibration condition monitoring of nonstationary systems in operation, Mechanical Systems and Signal Processing 21(3): 1233-1241.10.1016/j.ymssp.2006.04.001Search in Google Scholar

Cempel C., Krakowiak M. (2006a). Influence of running stability and randomness of observation on the condition assessment in multidimensional machine diagnostics, Diagnostyka 40(4): 19-25.Search in Google Scholar

Cempel C. and Tabaszewski M. (2006b). Averaging the symptoms in multidimensional condition monitoring for machines in nonstationary operation, Proceedings of the 13 International Congress on Sound and Vibration, Vienna, Austria, CD-ROM.Search in Google Scholar

Cempel C. (2004). Implementing multidimensional inference capability in vibration condition monitoring, Proceedings of the Conference on Acoustical and Vibratory Surveillance, Senlis, France.Search in Google Scholar

Cempel C. (2005). Multi fault vibrational diagnostics of critical machines, Zagadnienia Eksploatacji Maszyn 4(144): 133-142.Search in Google Scholar

Cempel C. (1991). Vibroacoustic Condition Monitoring, Ellis Horwood, London.Search in Google Scholar

Cempel C. (1987). Simple condition forecasting techniques in vibroacoustical diagnostics, Mechanical Systems and Signal Processing 1(1): 75-82.10.1016/0888-3270(87)90084-7Search in Google Scholar

Cempel C. (2008). Forecasting the global and partial system condition by means of multidimensional condition monitoring, Journal of Theoretical and Applied Mechanics 46(4): 777-797.Search in Google Scholar

Deng J. L. (1982). Control problems of grey systems, Systems and Control Letters 1(5): 288-294.10.1016/S0167-6911(82)80025-XSearch in Google Scholar

Deng J-L. (1989). Introduction to grey system theory, The Journal of Grey Systems 1(1): 1-24.Search in Google Scholar

Dunham M. H. (2003). Data Mining—Introductory and Advanced Topics, Prentice Hall, Englewood Cliffs, NJ.Search in Google Scholar

Golub G. H., VanLoan C. F. (1983), Matrix Computation, North Oxford Academic, Oxford.Search in Google Scholar

Jasiński M. (2004). Empirical models in gearbox diagnostics, Ph.D. thesis, Warsaw University of Technology, (in Polish).Search in Google Scholar

Korbicz J., Koscielny J. M., Kowalczuk Z. and Cholewa W. (Eds.) (2004). Fault Diagnosis—Models, Artificial Intelligence, Applications, Springer Verlag, Berlin.10.1007/978-3-642-18615-8Search in Google Scholar

Kiełbasiński A. and Schwietlick H. (1992). Numeric Linear Algebra, WNT, Warsaw, (in Polish).Search in Google Scholar

Natke H. G. and Cempel C. (2002). The symptom observation matrix for monitoring and diagnosis, Journal of Sound and Vibration 248(4): 597-620.10.1006/jsvi.2001.3800Search in Google Scholar

Natke H. G. and Cempel C. (1997). Model Aided Diagnosis of Mechanical Systems, Springer-Verlag, Berlin.10.1007/978-3-642-60413-3Search in Google Scholar

Pantopian N. H. and Larsen J. (1999). Unsupervised condition detection in large diesel engines, Proceedings of the IEEE Workshop on Neural Networks.Search in Google Scholar

Tabaszewski M. (2006). Forecasting of residual life of a fan mill by means of neural nets, Diagnostyka 3(39): 149-156, (in Polish).Search in Google Scholar

Tumer I. Y. and Huff E. M. (2002). Principal component analysis of tri-axial vibration data from helicopter transmission, Proceedings of 56th Meeting of the Society of Machine Failure Prevention Technology.Search in Google Scholar

Wen K. L. and Chang T. C. (2005). The research and development of completed GM(1,1) model toolbox using Matlab, International Journal of Computational Cognition 3(3): 42-48.Search in Google Scholar

Will T. (2005). Hanger matrix, two-thirds theorem, available at: http://www.uwlax.edu/faculty/will/svd/svd/index.htmlSearch in Google Scholar

Żółtowski B. and Cempel C. (Eds.) (2004). Engineering of Machine Diagnostics, ITE Press, Radom, p. 1308, (in Polish).Search in Google Scholar

Yao A. W. L. and Chi S. C. (2004). Analysis and design of a Taguchi-Grey based electricity demand predictor for energy management systems, Energy Conversion and Management 45: 1205-1217.10.1016/j.enconman.2003.08.008Search in Google Scholar

ISSN:
1641-876X
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Mathematics, Applied Mathematics