| 基于故障层次模型的集成神经网络诊断 |
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| 引用本文： | 王润孝,高利辉,薛俊峰.基于故障层次模型的集成神经网络诊断[J].组合机床与自动化加工技术,2005(3):44-46. |
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| 作者姓名： | 王润孝 高利辉 薛俊峰 |
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| 作者单位： | 1. 西北工业大学机电工程学院,西安,710072
2. 陕西航空硬质合金工具公司,陕西,汉中,724200 |
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| 摘 要： | 复杂系统具有层次结构特点,基于故障层次模型的诊断策略是复杂系统故障诊断可行和有效方法.集成神经网络模型以故障层次模型为参考,可以大大缩小诊断推理的求解空间,最终快速定位发生故障的根本部位.集成神经网络的模型结构为多模型或方法集成应用提供了一个良好的融合机制.基于模糊ART神经网络及BP神经网络构建的集成神经网络更进一步具有发现新故障的能力,且能够对故障引发部位实现精确诊断和定位.
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| 关 键 词： | 故障诊断 层次模型 集成神经网络 |
| 文章编号： | 1001-2265(2005)03-0044-03 |
| 修稿时间： | 2004年8月25日 |
Diagnosis Application of Integrated ANN Based on Hierarchical Fault Model |
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| WANG Run-xiao,GAO Li-hui,XUE Jun-feng.Diagnosis Application of Integrated ANN Based on Hierarchical Fault Model[J].Modular Machine Tool & Automatic Manufacturing Technique,2005(3):44-46. |
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| Authors: | WANG Run-xiao GAO Li-hui XUE Jun-feng |
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| Abstract: | The configuration of complex manufacturing system has hierarchical characteristic. The diagnostic method based on hierarchical fault model is effective to fault diagnosis of complex manufacturing system. Refer to hierarchical fault model, the integrated ANN diagnostic model can contract the scope of diagnostic reasoning, and find quickly the fault components. The structure of integrated ANN model is very convenient to integrate various diagnostic models and methods in the diagnosis system. The integrated ANN consists of fuzzy ART2 and BP network has ability of finding new fault type, accurate diagnostic reasoning and locating fault. |
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| Keywords: | fault diagnosis hierarchical fault model integrated ANN |
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