Nonlinear Dynamic Compensation for Probability Analysis in Fault Diagnosis of Electric Equipment

Abstract:

A nonlinear dynamic compensation for probability analysis in fault diagnosis of electric equipment was reported. Because of the limitations of Threshold temperature diagnosis method and the traditional Bayesian theory fault diagnosis method of electric equipment, a nonlinear SGompertz model and quadratic power model were used to compensate the diagnosis results for the influence of equipment aging and running temperature, then the maximum probability principle was adapted to judge whether the equipment is in malfunctioning state. The 3-D simulation results indicates that: (1) there is a strong relationship between the status and equipment aging and running temperature; (2) an obviously difference exists between linear and nonlinear compensational results of the characteristic temperature region. This proposed methodology is testified having important significance in improving the reliability and the information level of power transformers operation.

• Periodical: Applied Mechanics and Materials (Volumes 494-495)
• Pages: 913-916
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.494-495.913
• Online since: February 2014
• Authors: Hao Yang Cui*, Yong Peng Xu, Jia Lin Wang, Nai Yun Tang, Feng Hong Chu, Jun Jie Yang, Zhong Tang
• Keywords: Electric Equipment, Fault Diagnosis, Nonlinear Dynamic Compensation

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