Title :
Study on thermal aging condition assessment of oil-paper insulation based on statistical features of partial discharge
Author :
Liao, Rui-jin ; Wang, Ke ; Yang, Li-jun ; Zhou, Tian-chun ; Zheng, Sheng-Xun
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
Abstract :
A thermally accelerated aging experiment was designed for simulating the actual environment of transformer insulation in service. Pulse current method was used to measure partial discharge of the test samples with different aging degrees. Four PD spectrums of PRPD model and its 29 features were extracted for aging condition assessment. Aging condition of oil-paper was defined and normalized into a unit circle. Besides, the aging radius R which represents the condition of aged oil-paper was obtained by a linear transformation on degree of polymerization (DP). According to DP, the aging condition of oil-paper was divided into five stages. By using the aging radius R as a single objective, an assessment model was established based on a three-layer BP neural network which was trained by genetic algorithm and LM algorithm respectively. Finally, the test samples were assessed by the trained GA-BP and LM-BP network. Results demonstrate that GA-BP network has the advantages of higher recognition rates and better generation capability comparing with LM-BP network.
Keywords :
ageing; backpropagation; condition monitoring; genetic algorithms; insulating oils; neural nets; paper; partial discharge measurement; polymerisation; power engineering computing; power transformer insulation; thermal analysis; GA-BP network; LM-BP network; genetic algorithm; linear transformation; oil-paper insulation; partial discharge measurement; partial discharge statistical feature; polymerization degree; pulse current method; thermal aging condition assessment; three-layer BP neural network; transformer insulation; Accelerated aging; Current measurement; Feature extraction; Oil insulation; Partial discharge measurement; Partial discharges; Power transformer insulation; Pulse measurements; Pulse transformers; Testing; BP neural network; Genetic algorithm; Oil-paper Insulation; Partial discharge; Thermal aging assessment;
Conference_Titel :
Properties and Applications of Dielectric Materials, 2009. ICPADM 2009. IEEE 9th International Conference on the
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-4367-3
Electronic_ISBN :
978-1-4244-4368-0
DOI :
10.1109/ICPADM.2009.5252421
