Database Architecture of Diagnostic System for Large Power Transformers
作者： Liliana Byczkowska-Lipińska , Agnieszka Wosiak
DOI: 10.1007/978-3-642-02196-1_9
关键词:
摘要: Supporting service staff is the most important task of expert system for technical state electric device. Permanent data acquisition enables displaying current parameters and forecasts future. It also recommendable to provide remedy actions in case a particular fault.
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sci-hub.st 参考文章(7)
Piotr Lipinski, Dariusz Puchala, Agnieszka Wosiak, Liliana Byczkowska-Lipinska, Transformer Monitoring System Taking Advantage of Hybrid Wavelet Fourier Transform Springer, Berlin, Heidelberg. pp. 31- 36 ,(2008) , 10.1007/978-3-540-78490-6_4
Ronald J. Brachman, Hector J. Levesque, Readings in Knowledge Representation ,(1985)
A. Wosiak, L. Byczkowska-Lipińska, System diagnostyczny do oceny stanu pracy transformatora energetycznego Przegląd Elektrotechniczny. pp. 137- 140 ,(2006)
J. G. Carbonell, T. M. Mitchell, R. S. Michalski, Machine Learning: An Artificial Intelligence Approach Springer Publishing Company, Incorporated. ,(2013)
W. Zaengl, A. Schenk, T. Aschwanden, M. Hassig, P. Lorin, A. Piras, P. Zweiacker, J. Fuhr, V. Der Houhanessian, Development and application of new condition assessment methods for power transformers International Conference on Large High Voltage Electric Systems. CIGRE'98. Session Papers. ,vol. 2, ,(1998)
Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell, An Overview of Machine Learning Machine Learning. pp. 3- 23 ,(1983) , 10.1007/978-3-662-12405-5_1
Liliana Byczkowska - Lipinska, Agnieszka Wosiak, Monitoring System of the State of Electric Devices international conference on modern problems of radio engineering, telecommunications and computer science. pp. 31- 33 ,(2006) , 10.1109/TCSET.2006.4404435