| 混沌神经网络在转子碰摩故障诊断中的应用 |
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| 引用本文： | 袁颂岳 贺娟. 混沌神经网络在转子碰摩故障诊断中的应用[J]. 中小型电机, 2007, 34(10): 30-34 |
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| 作者姓名： | 袁颂岳 贺娟 |
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| 作者单位： | [1]桂林电子科技大学信息科技学院,广西桂林541004 [2]湖南人文学院,湖南娄底417000 |
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| 摘 要： | 大量研究表明，转子碰摩故障现象具有丰富的非线性特征。提出了一种新的基于模拟退火策略的混沌神经网络模型，并结合变尺度混沌优化方法，将其应用于转子碰摩故障的诊断。仿真试验表明：该模型具有较高的预测精度，可有效地识别这些相似故障模式，对于旋转机械重大事故的预防具有积极作用。
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| 关 键 词： | 混沌神经网络 模拟退火策略 变尺度混沌优化 转子碰摩故障诊断 |
| 文章编号： | 1673-6540（2007）10-0030-05 |
| 修稿时间： | 2007-03-26 |
Application of Chaos Neural Network on Rubbing Rotor Fault Diagnose |
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| YUAN Song-yue, HE Juan. Application of Chaos Neural Network on Rubbing Rotor Fault Diagnose[J]. S&M Electric Machines, 2007, 34(10): 30-34 |
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| Authors: | YUAN Song-yue HE Juan |
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| Affiliation: | 1. Science and Technical Colleges of the Guilin University of Electronics and Technology, Guilin 541004, China ; 2. Hunan Institute of Humanities, Science and Technology, Loudi 417000, China |
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| Abstract: | Numerous researches show that rotor rubbing fault has sufficient nonlinear features. In this paper, a new model of chaos neural network based on simulated annealing strategy is proposed. The model using the mutative scale chaos optimization method is applied on diagnosing rubbing rotor fault. Experimental results show that the model achieves a high accuracy and recognizes the faults effectively, which are quite helpful to prevent accidents of rotary machine. |
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| Keywords: | chaos neural network simulated annealing strategy mutative scale chaos optimization rubbing rotor fault diagnose |
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