Artificial Intelligence Method for Transformer’s State Diagnosis Based on Oil-chromatogram Examination

DAI Ren-chang1; ZHAO Shou-sheng2

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Artificial Intelligence Method for Transformer’s State Diagnosis Based on Oil-chromatogram Examination

更新时间：2025-04-26

- Artificial Intelligence Method for Transformer’s State Diagnosis Based on Oil-chromatogram Examination
- High VoltageApparatus Issue 3, Pages: 228-230(2004)
- 作者机构：
  
  1.   北京朗新信息系统有限公司
  2.   浙江省电力公司金华电业局北京100086
  3.   浙江金华321017
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM855
- Published：2004
- 稿件说明：
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[1]戴仁昶,赵寿生.基于油色谱数据的变压器状态智能诊断方法[J].高压电器,2004(03):228-230.

DAI Ren-chang1, ZHAO Shou-sheng2. Artificial Intelligence Method for Transformer’s State Diagnosis Based on Oil-chromatogram Examination[J]. High voltageapparatus, 2004, (3): 228-230.
[1]戴仁昶,赵寿生.基于油色谱数据的变压器状态智能诊断方法[J].高压电器,2004(03):228-230. DOI：

DAI Ren-chang1, ZHAO Shou-sheng2. Artificial Intelligence Method for Transformer’s State Diagnosis Based on Oil-chromatogram Examination[J]. High voltageapparatus, 2004, (3): 228-230. DOI：

摘要

利用变压器的油色谱试验数据对神经网络进行训练

将训练后的神经网络用于变压器的状态诊断。同时利用遗传算法优化神经网络的结构。算例结果表明

利用遗传算法和神经网络相结合的人工智能方法可以有效地诊断变压器的状态。

Abstract

This paper presents a method to diagnose the state of transformer based on artificial intelligence which integrates artificial neural network and genetic algorithm. In this method

ANN is used as a classifier to forecast the state of transformer after training the samples of oil-chromatogram examination

and genetic algorithm is used to optimize the ANN structure. The practical result shows the validity of the method.

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