Research on Intelligent Early Warning of Collision Faults at Transmission Line Crossings
In order to provide precise early warnings for transmission line collision faults at the line crossing-over and ensure the safe and stable operation of transmission lines,this paper presents an intelligent early warning method for such faults.The overall framework of the intelligent early warning method is designed,acquiring the collision fault's relevant characteristic data of of the target transmission line.The Naive Bayesian algorithm is utilized to mine the fault factors from these feature data,and to derive their occurrence indices.The time series consistent fault matching algorithm is then used to diagnose the line collision fault of the target transmission line,and give an early warning when the line collision fault probability is high,thus achieving the intelligent early warning of such faults.The test results indicate that the proposed method can obtain the power characteristics of AC and DC line fault factors when a collision fault occurs to the transmission line at the crossing-over,and thus realizing the intelligent early warning:for 14 times of early warning for such faults,the proposed method's accuracy reaches 93.3%,which proves that the early warning accuracy meet the needs of practical application,and provide guarantee for the safe and stable operation of the transmission line.
transmission linescross overwire collision faultintelligent warningnaive Bayesthe time series
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