Title :
Method for detecting system on power transformer winding deformation
Author :
Ma Shaohua ; Ren He
Author_Institution :
Instn. of Electr. Machines & Apparatus, Shenyang Univ. of Technol., Shenyang, China
Abstract :
This paper presents a detecting system on power transformer winding deformation which can enhance the diagnostic accuracy to a large degree. The Impulse Frequency Response Analysis (IFRA) method is developed for generating frequency response analysis trace (FRA trace) and Support Vector Machine (SVM) algorithm is used for predicting the transformer winding deformation. Based on IFRA and SVM, the basic principle of detecting system is presented, the hardware is designed and the software is programmed. Finally, an experimental analysis for detecting transformer winding deformation is carried out to test the practicality of this detecting system.
Keywords :
frequency response; power engineering computing; power transformer testing; support vector machines; transformer windings; FRA trace; IFRA method; SVM algorithm; detecting system; diagnostic accuracy; frequency response analysis trace; impulse frequency response analysis; power transformer winding deformation; support vector machine; Power transformers; Impulse Frequency Response Analysis (IFRA); Power transformer; Support Vector Machines (SVM); Winding deformation;
Conference_Titel :
Electrical Machines and Systems, 2009. ICEMS 2009. International Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-5177-7
Electronic_ISBN :
978-4-88686-067-5
DOI :
10.1109/ICEMS.2009.5382646
