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FAILURE PREDICTION DEVICE FOR LIGHTNING ARRESTER FOR POWER TRANSMISSION, FAILURE PREDICTION PROGRAM AND FAILURE PREDICTION METHOD
FAILURE PREDICTION DEVICE FOR LIGHTNING ARRESTER FOR POWER TRANSMISSION, FAILURE PREDICTION PROGRAM AND FAILURE PREDICTION METHOD
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机译:输电避雷器的故障预测装置,故障预测程序和故障预测方法
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摘要
PROBLEM TO BE SOLVED: To properly predict a failure rate of a lightning arrester for power transmission.SOLUTION: A failure prediction device for a lightning arrester for power transmission includes: a lightning stroke database 21 for storing lightning stroke information including past lightning stroke positions and lightning stroke current values; and a lightning arrester database 22 for storing lightning arrester information including a structure and an installation position of a steel tower in which each lightning arrester for power transmission is installed, a ground inclination angle, and a failure lightning stroke current value for each lightning arrester for power transmission. A lightning stroke density task 31 calculates a lightning stroke density indicating the number of lightning strokes for each year within a predetermined distance from the lightning arrester for power transmission, and calculates a predicted lightning stroke density from an average value and a standard deviation. A cumulative frequency task 32 calculates a cumulative frequency distribution indicating a cumulative frequency for a lightning stroke current value of a lightning stroke having occurred within the predetermined distance from the lightning arrester for power transmission, and calculates a failure lightning stroke current cumulative frequency for the failure lightning stroke current value of the lightning arrester for power transmission from the cumulative frequency distribution. A failure probability task 33 calculates a shielding failure probability of being impossible to shield the lightning stroke to the lightning arrester for power transmission. A failure rate task 34 calculates a failure rate of the lightning arrester for power transmission on the basis of the predicted lightning stroke density, the failure lightning stroke current cumulative frequency and the shielding failure probability.
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