【作者】 吴建港；

【导师】 王太勇；

【作者基本信息】 天津大学 ， 机械制造及其自动化， 2004， 硕士

【摘要】 随着以信息技术为代表的信息社会的到来,计算机网络几乎渗透到了生产和生活的每一个角落,特别是近几年,无线网络技术的发展,跨越了以往故障诊断在时间和空间上的局限性,为机械设备的远程监控和故障诊断技术带来广阔的应用前景,更为远程故障诊断系统实施提供了一个新的模式。本论文论述了基于无线网络的远程智能故障诊断系统结构,并分析了系统的基于无线网络的数据传输的方法和基于贝叶斯网络推理算法的智能故障诊断的解决方案。基于无线网络的故障诊断系统由现场工作站、企业监测中心、远程诊断中心、远程监控站四个部分组成。现场工作站和企业监测中心通过根据IEEE802.11g协议搭建的无线局域网平台,实现企业级无线网络实时监测和故障诊断;企业监测中心、远程诊断中心和远程监控站通过商用无线数字通讯网络(GPRS网络)实现无线广域网数据传输。其中在系统中引入微软的Windows终端服务技术,实现远程对现场工作站的控制、监测、故障判断和故障诊断。在智能故障诊断中,利用贝叶斯网络建立的智能故障诊断模型,通过贝叶斯网络推理算法来提高故障诊断中不确定信息的处理能力和推理质量。通过水泵单机组在线监测系统在上海自来水厂某泵站的实际应用,验证了本文提出的基于无线网络的远程智能故障诊断系统的可行性。更多还原

【Abstract】 With the coming of the information society characterized by the informationtechnology, computer network has taken effect in almost every field of the society.Especially in recent years when, by the development of wireless network technology,the spatio-temporal restricts of fault diagnosis have been broken, technologies ofremote monitoring and diagnosis have found their wide application and a new modefor remote monitoring and diagnosis system has been brought.In this thesis a remote intelligent fault diagnosis system based on wirelessnetwork is put forward. A method of data-transmission based on wireless network isanalyzed and a scheme for intelligent fault diagnosis on the basis of Bayesiannetwork is laid out.A fault diagnosis system based on wireless network is composed of four partswhich are site-workstations, a monitoring center of a company, a remote diagnosiscenter and a remote monitoring center. The real time online monitoring and faultdiagnosis on the level of company is realized by the use of the WLAN constructedbetween the site-workstations and the monitoring center according to the protocol ofIEEE 802.11g. By the application of commercial wireless digital communicationsnetwork (GPRS), the last three parts of the system are able to accomplishdata-transmission through wireless WWAN. The terminal service technology ofMicrosoft is introduced in the realization of remote monitoring and fault diagnosis tothe site-workstations.This thesis also researches on how to build a fault diagnosis model takingadvantage of Bayesian network and how to improve the system’s resolving abilityand reasoning quality in the process of intelligent fault diagnosis.The feasibility of the remote intelligent fault diagnosis system based onwireless network and proposed by this thesis is validated by the practical applicationof pump online monitoring system at a certain water-station in shanghai.更多还原