Design of Operational Status Assessment and Fault Auxiliary Diagnosis System for Overhead Transmission Lines

This paper analyzes the merits and drawbacks as well as the difficulties and facilities of many existing methods for state evaluation, and comparative analysis of Bayesian Network technology, searching and studying Bayesian network’s development, the basic theory, learning methods and reasoning methods and so on. According to the characteristics of overhead transmission lines in operation, this paper puts forward the state evaluation of overhead transmission line using Bayesian Network technology, establishes the state evaluation model based on Bayesian Network, constructs the directed acyclic graph structure of the state evaluate, and parameters learning of state evaluate, uses the unique bidirectional inference skill of Bayesian network to reason and judge the operation state of line ("normal", "attention", "abnormal", "serious"), or to distinguish the hidden state weak point. In addition, the feedback correction mechanism is set in order to complete the amendment of evaluation results to update the network’s structure and parameters, and ensure the accuracy of calculation and correctness of evaluation results.