Fuzzy comprehensive evaluation method for health state of digital power transformer
A fuzzy comprehensive evaluation, power transformer technology, applied in the direction of electrical digital data processing, instruments, data processing applications, etc., can solve the measurement accuracy stability and reliability uncertainty of electronic transformers, the singleness of index weight and subjectivity problems and other issues to achieve more targeted and reasonable and accurate evaluation results
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[0256] According to steps 1-5, the health status of the digitalized power transformer is evaluated according to the operation data of the relevant digitalized power transformer. Firstly, the data information of the evaluation index is collected, and then the degree of membership of each evaluation index information is calculated. According to the importance of different levels of evaluation indicators, the BP neural network is used to determine the weight of the evaluation indicators, and the state of the digital power transformer is calculated.
[0257] Data collection of evaluation indicators
[0258] The digital power transformer data collected in the online monitoring system and historical database are sorted according to the classification of evaluation indicators. If there is any data missing, select the data of the nearest time period. If the missing range is too large, check the equipment. The state information at three moments is selected for evaluation below.
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