| 基于压电阻抗设备结构健康状态智能诊断方法的研究 |
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| 引用本文： | 张健,芮延年,陈洁.基于压电阻抗设备结构健康状态智能诊断方法的研究[J].机械设计与制造,2007(9):197-199. |
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| 作者姓名： | 张健 芮延年 陈洁 |
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| 作者单位： | 1. 苏州市职业大学,苏州,215004
2. 苏州大学,机电工程学院,苏州,215021 |
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| 基金项目： | 江苏省教育厅高校自然科学研究指导性计划 |
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| 摘 要： | 利用压电陶瓷(PZT)智能材料作为驱动源产生的波动信号,结合人工神经网络控制方法对设备及结构健康状态进行智能诊断.通过研究首先构建了动力学模型,并通过对工程实际中常见结构缺陷问题的实验研究,对模型相关参数进行了优化,同时也证明了该方法的先进性、可行性和实用性.
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| 关 键 词： | 压电陶瓷(PZT) 结构健康状态 智能诊断 压电阻抗 设备 结构 健康状态 智能材料 诊断方法 研究 impedance piezoelectric based structure equipment state health method of intelligent diagnosis 先进性 优化 相关参数 动力学模型 |
| 文章编号： | 1001-3997（2007）09-0197-03 |
| 修稿时间： | 2006-11-11 |
Research on intelligent diagnosis method of the health state of equipment and structure based on piezoelectric impedance |
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| ZHANG Jian,RUI Yan-nian,CHEN Jie.Research on intelligent diagnosis method of the health state of equipment and structure based on piezoelectric impedance[J].Machinery Design & Manufacture,2007(9):197-199. |
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| Authors: | ZHANG Jian RUI Yan-nian CHEN Jie |
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| Affiliation: | 1.Suzhou Vocational University, Suzhou 215004, China;2.Mechanical and Electronic Institute of Suzhou University, Suzhou 215021, China |
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| Abstract: | It takes PZT intelligent material as the driving source to produce fluctuant signals, together with the artificial neural network control method, the health state of equipment and structure can be intelligently diagnosed. In the research, a kinetic model is constructed, and then the relative parameters are optimized on the basis of the experimental research of structural defect problem in engineering practice.Meanwhile, the advantages, feasibility and practicability of this method have been proved. |
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| Keywords: | PZT Structural health state Intelligent diagnosis |
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