Title :
Condition-based maintenance of transformer on basis of RBF
Author_Institution :
Inst. of Intell. Inf. Process., Guizhou Normal Univ.
Abstract :
The condition-based maintenance of electrical transformer is a scientific overhauling management strategy prevailing domestically and abroad. This article depicts the failure diagnosing algorithm based on radial basis function (RBF), and by means of simulation, proves that the use of RBF method in condition-based maintenance of transformer obtains a comparatively good capability in classification, and this method is simple and easy to use and can ensure a highly precise diagnosis.
Keywords :
condition monitoring; failure analysis; fault diagnosis; maintenance engineering; power engineering computing; power transformers; radial basis function networks; RBF; condition-based maintenance; electrical transformer; failure diagnosing algorithm; radial basis function; scientific overhauling management strategy; Convergence; Feedforward systems; IEC; Information processing; Minimization methods; Neural networks; Nonhomogeneous media; Power industry; Radial basis function networks; Transformer cores; conditioned-based maintenance; radial basis function; transformer Introduction;
Conference_Titel :
Anti-counterfeiting, Security and Identification, 2008. ASID 2008. 2nd International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-4244-2584-6
Electronic_ISBN :
978-1-4244-2585-3
DOI :
10.1109/IWASID.2008.4688397
