A power cable condition evaluation method based on momentum BP neural network
A BP neural network and power cable technology, applied in the direction of neural learning methods, biological neural network models, neural architecture, etc., can solve the problem of a single basis for power cable status evaluation
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[0040] Example 1. A method for evaluating the state of a power cable, comprising the steps of:
[0041] Step 1: Establish a three-layer momentum BP neural network that introduces momentum factors;
[0042] 1), establish a three-layer momentum BP neural network that introduces momentum factors, such as figure 2 As shown, it includes input layer, hidden layer and output layer respectively. The input layer inputs the index data for evaluating the state of the power cable, and the output layer outputs the evaluation results.
[0043] 2) Select the power cable status evaluation index
[0044] Select n indicators to evaluate the status of power cables as the input layer, use X={x 1 , x 2 , x 3 ,...,x n}express.
[0045] Two factors are mainly considered when selecting power cable status evaluation indicators: one is to use as many indicators as possible to comprehensively evaluate the power cable operation status; the other is the monitorability of indicators in daily work ...
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