| 机电系统全寿命模拟研究 |
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| 引用本文： | 陈举华,沈学会,史岩彬.机电系统全寿命模拟研究[J].系统仿真学报,2003,15(8):1158-1162. |
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| 作者姓名： | 陈举华 沈学会 史岩彬 |
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| 作者单位： | 山东大学机械工程学院,济南,250061 |
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| 基金项目： | 山东省自然科学基金项目(Y2002F19)，山东省科学技术发展计划项目(012050107)。 |
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| 摘 要： | 重大机电产品可靠性研究具有广阔的工程背景和较高的经济效益，但其可靠性试验常造成资源浪费和环境污染，为使此类系统可靠性研究可持续发展，文章中介绍了以小子样系统为理论框架的数值模拟可采用的有效方法以及工程实例验证。
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| 关 键 词： | 机电系统 全寿命模拟 灰色模型 BP神经网络 灰关联分析 模糊贴近度 |
| 文章编号： | 1004-731X(2003)08-1158-05 |
| 修稿时间： | 2002年10月8日 |
Life Simulation Research on Engineering and Electronic Systems |
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| CHEN Jv-hua,SHEN Xue-hui,SHI Yan-bin.Life Simulation Research on Engineering and Electronic Systems[J].Journal of System Simulation,2003,15(8):1158-1162. |
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| Authors: | CHEN Jv-hua SHEN Xue-hui SHI Yan-bin |
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| Abstract: | Although the research of reliability for important engineering and electronic products has wide engineering background and higher profits, the tests of which often result in resource waste and environmental pollution. To make the research of reliab(i)26.3(l)]ity for this kind of system sustained, effective methods taken in the value simulation based on the theory of small sampling systems are introduced in this article. At the same time, plenty of engineering examples are cited to verify. |
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| Keywords: | engineering and electronic systems total life simulation gray models BP neural networks gray relational analysis fuzzy nearness |
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