水泥生产关键设备故障诊断系统的研究

发布时间：2018-05-03 18:34

本文选题：关键设备 + 特征提取　；参考：《济南大学》2015年硕士论文

【摘要】：水泥生产中的每个环节都是相互联系的,任何环节出现问题都会降低水泥生产的效率和质量。而水泥生产线中关键设备的正常工作是保证各生产环节正常运行的重要前提。水泥生产线长、生产设备结构复杂且数量众多、加上水泥生产环境恶劣,一旦某一生产环节的关键设备出现故障,都会发生一系列的连锁反应,造成严重的生产问题。从长远发展角度来看,故障诊断技术必然是未来科学研究的热点内容。同理,将故障诊断技术运用到水泥生产设备当中也必定是水泥行业发展的一个重要方向。针对以上分析,展开对水泥生产关键设备故障诊断系统的研究具有十分重要的实用价值和实际意义。本文以某水泥生产现场作为课题的研究背景,对水泥生产关键设备的故障诊断系统进行研究。课题研究旨在研究思想可以为整条水泥生产中关键设备的故障诊断方法提供具有实际意义的参考依据,开发的故障诊断系统在生产现场能够实现预定的故障诊断功能。在深入了解水泥生产工艺的基础上,得出水泥生产过程中的关键设备,选取窑尾高温风机为课题的研究对象。课题研究首先提取出能表征高温风机现场运行状态的关键特征值参数,根据生产现场参数的设定值,判断特征参数是否处于正常变化范围。其次,仿真从现场采集到的高温风机不同运行状态下的关键参数数据,得出不同故障类型下各特征参数的不同变化趋势。把模糊推理和基于案例推理算法用于水泥生产关键设备故障诊断算法研究。在对设备不同故障类型下关键参数变化趋势分析的基础上,通过模糊推理得出故障诊断规则;把得到的故障诊断规则存入规则库中,为案例推理提供参考。在案例推理算法中,运用聚类方法对不同运行状态的数据进行归类,得出表征设备不同运行状态的代表性数据;通过相似度的比较判断案例的匹配程度,得出设备最可能的故障状态。最后,对水泥生产关键设备故障诊断系统软件进行设计与开发。从工业生产的实际应用出发,在基于Asea Brown Boveri Ltd(ABB)公司的Freelance AC800F系统平台的基础上对故障诊断系统进行开发,运用Microsoft Visual Basic 6.0编写水泥生产关键设备故障诊断系统软件。故障诊断系统软件的架构由OLE for Process Control(OPC)数据采集系统、故障诊断前台界面以及后台SQL Server 2000数据库三部分组成。运用开发的故障诊断系统对设备不同运行状态历史数据进行仿真实验得到了很好的仿真效果。
[Abstract]:Every link in cement production is related to each other. Any problems in cement production will reduce the efficiency and quality of cement production. The normal operation of key equipment in cement production line is an important prerequisite to ensure the normal operation of each production link. The cement production line is long, the production equipment structure is complex and the quantity is numerous, plus the cement production environment is bad, once the key equipment of a certain production link breaks down, will have a series of chain reaction, cause the serious production problem. From the view of long-term development, fault diagnosis technology is bound to be a hot topic of scientific research in the future. Similarly, the application of fault diagnosis technology to cement production equipment must be an important direction of cement industry development. In view of the above analysis, it is of great practical value and practical significance to study the fault diagnosis system of key equipment in cement production. In this paper, a cement production site as the research background, the cement production key equipment fault diagnosis system is studied. The purpose of the research is to provide a practical reference for the fault diagnosis method of the key equipment in the whole cement production. The developed fault diagnosis system can realize the predetermined fault diagnosis function in the production site. On the basis of deep understanding of cement production technology, the key equipment in cement production process is obtained, and the high temperature fan at kiln tail is selected as the research object. The key eigenvalue parameters which can represent the running state of the high temperature fan are extracted firstly. According to the set values of the production field parameters, the characteristic parameters are judged to be in the normal range. Secondly, the key parameter data of high temperature fan in different operation state are simulated, and the variation trend of each characteristic parameter under different fault type is obtained. Fuzzy reasoning and case-based reasoning are applied to fault diagnosis algorithm of critical equipment in cement production. Based on the analysis of the variation trend of key parameters under different fault types of equipment, the fault diagnosis rules are obtained by fuzzy reasoning, and the obtained fault diagnosis rules are stored in the rule base, which provides a reference for CBR. In the Case-Based reasoning algorithm, clustering method is used to classify the data of different running states, and the representative data representing the different running states of the equipment are obtained, and the matching degree of the case is judged by the comparison of similarity. Get the most likely failure state of the equipment. Finally, the software of fault diagnosis system for key equipment in cement production is designed and developed. Starting from the practical application of industrial production, the fault diagnosis system is developed on the basis of Freelance AC800F system platform of Asea Brown Boveri Ltd. ABB, and the software of fault diagnosis system for key equipment of cement production is programmed by Microsoft Visual Basic 6.0. The software architecture of fault diagnosis system is composed of OLE for Process Control OPC data acquisition system, front interface of fault diagnosis and background SQL Server 2000 database. By using the developed fault diagnosis system, the simulation results of different operation state history data of the equipment are obtained.
【学位授予单位】：济南大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TQ172.6

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