| 汽轮发电机组振动多故障诊断的遗传算法研究 |
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| 引用本文： | 张彼德,陈光.汽轮发电机组振动多故障诊断的遗传算法研究[J].汽轮机技术,2006,48(4):278-280. |
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| 作者姓名： | 张彼德 陈光 |
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| 作者单位： | 1. 电子科技大学自动化工程学院,成都,610054;西华大学电气信息学院,成都,610039
2. 电子科技大学自动化工程学院,成都,610054 |
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| 摘 要： | 汽轮发电机组的振动具有多样性的特点,经常出现多种故障同时发生的情况。将遗传算法分别与模糊c划分方法和概率因果模型相结合,应用到汽轮发电机组的振动多故障诊断中。经实例分析证明,这两种方法都可对汽轮发电机组的振动多故障进行有效诊断,具有较高的诊断可靠性和实用性。
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| 关 键 词： | 汽轮发电机组 振动多故障 遗传算法 模糊c划分 概率因果模型 |
| 文章编号： | 1001-5884（2006）04-0278-03 |
| 收稿时间： | 2005-02-25 |
| 修稿时间： | 2005-02-25 |
A Method for Turbogenerator Vibration Multi-fault Diagnosis Based on Genetic Algorithm |
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| ZHANG Bi-de,CHEN Guang-ju.A Method for Turbogenerator Vibration Multi-fault Diagnosis Based on Genetic Algorithm[J].Turbine Technology,2006,48(4):278-280. |
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| Authors: | ZHANG Bi-de CHEN Guang-ju |
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| Affiliation: | 1 Institute of CAT, University of Electronic Science and Technology, Chengdu 610031, China ; 2 School of Electrical Engineering and Information, Xihua University, Chengdu 610039, China |
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| Abstract: | The turbogenerator vibration faults have the character of variety.Many faults often occur synchronous]y.This pa- per introduces two ways which is based on the genetic algorithm.The first way is based on genetic algorithm and fuzzy c. The second is based on genetic algorithm and probabilistic causal model.From the practice,the two ways can all be used for multi-fault diagnosis,and have higher reliability and practicability. |
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| Keywords: | turbogenerator vibration multi-fault genetic algorithm fuzzy c probabilistic causal model |
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