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故障诊断的机械设备建模系统
引用本文:张苗苗,谢剑英,方敏,徐国良.故障诊断的机械设备建模系统[J].农业机械学报,2000,31(1):100-103.
作者姓名:张苗苗  谢剑英  方敏  徐国良
作者单位:1. 上海交通大学自动化系,200030,上海市
2. 合肥工业大学电气工程系,230069,合肥市
3. 宁波镇海税务局,315201,宁波市
摘    要:针对机械设备的层次性特点,引入了面向对象的分析和设计方法,完成了机械设备的建模系统。系统具有柔怀、开放性,可灵活地根据设备的传动关系建模。当模型被初始化后,系统会自动搜寻传动关系并计算各零部件对象的工作频率。模型与信号分析数据库连接后,可得到该特征频率处的故障参数信息。与神经网络数据库连接后,可进行故障的推理诊断。

关 键 词:面向对象  故障诊断  特征频率  神经网络  机械设备
修稿时间:1998-11-19

Modeling System of Mechanical Equipment for Fault Diagnosis
Zhang Miaomiao,Xie Jianying,Fang Min,Xu Guoliang.Modeling System of Mechanical Equipment for Fault Diagnosis[J].Transactions of the Chinese Society of Agricultural Machinery,2000,31(1):100-103.
Authors:Zhang Miaomiao  Xie Jianying  Fang Min  Xu Guoliang
Institution:Zhang Miaomiao Xie Jianying (Shanghai Jiaotong University) Fang Min (Hefei University of Technology) Xu Guoliang (Ningbo Zhenhai Taxation Bureau)
Abstract:In accordance with the layer features of mechanical equipment a modeling system of mechanical equipment was developed by introducing an object oriented analysis and design. The system with features of opening and flexibility can be used to build models for a mechanical equipment based on its drive connections. After initialized, the drive connection of the model is automatically searched, and the characteristic frequency calculation of the components is followed. The response of the system is quick and reliable. When the model is connected with the analytic database of signal, the fault parameters corresponding with the characteristic frequency can be gained. If the model is connected with the neural network database, the result of fault diagnosis can be inferred. The results of practical application show its value in fault diagnosis.
Keywords:Object  oriented    Model building    Fault diagnosis    Characteristic  frequency
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