凉水塔风机网络化在线监测与故障诊断系统研究

【作者】 李德刚；

【导师】 于德介； 朱泽华；

【作者基本信息】 湖南大学 ， 机械工程， 2001， 硕士

【摘要】 随着现代工业技术的发展，越来越多的大型机组设备被应用到企业的生产当中。大型机组设备的状态监测与故障诊断技术能保障这些机组设备的正常运转，故该学科已成为当前研究的热点。本学位论文在分析状态监测与故障诊断技术的现状及其发展的基础上，结合实际课题“凉水塔风机网络化在线监测与故障诊断系统开发”开展了如下研究： ①对凉水塔风机的常见故障进行了归纳与综合，定性地分析了故障产生的机理和振动特征； ②完成了风机在线监测与故障诊断系统的整体设计，将系统分为采集层、传输层、监测层和诊断层；在充分考虑现场工况条件，规划了系统传输层的网络体系结构，实现了采集数据的实时远程传输； ③设计了系统采集层的硬件，解决了硬件的防潮、隔热和降噪等技术问题。开发了系统的数据采集软件，保证了数据采集的实时性和准确性； ④研发了风机的状态监测与故障诊断软件，结合数据库技术完成了采集数据的管理与图形化显示，提供了多种方法对机组运行状态进行监测和分析诊断。 本文研制的系统已投入应用，且运行稳定，证明系统设计正确，硬件可靠性高，软件功能性强。系统为企业创造了明显的经济效益。本文研发的凉水塔风机状态监测与故障系统可应用到其它的机组和装置，具有较大的推广意义。更多还原

【Abstract】 With the development of modern technology, more and more large-scale mechanical equipments are applied in enterprises’ manufacture. The condition monitoring and fault diagnosis technology of these equipments, which can ensure continuous operation, has become a current focus.Based on the condition monitoring and fault diagnosis technique, The project "Design of on-line condition monitoring and fault diagnosis system for Cooling Tower Fan" is carried out. In this project, the following research works have been launched:1. The common faults of Cooling Tower Fan are summarized, the fault developing mechanism and vibration characteristics are analyzed qualitatively.2. The on-line condition monitoring and fault diagnosis system of Cooling Tower Fan is divided into three levels.- sampling leveK transmission level and monitoring & diagnosis level. The network structure of the transmission level can realize the real-time remote transmission.3. Some problems such as damp proof ^ heat insulation and interfere suppress are overcame in the development of hardware used in the sampling level ?The software we programmed can sample data duly and exactly ?4. Software used for the fan’s on-line condition monitoring and fault diagnosis is developed, which realize the data management and graphical demonstration by combining database library technology. The working condition of the Cooling Tower Fan is monitored, analyzed and diagnosed by the time and frequency domain analysis methods offered by the software.This system has been applied to the condition monitoring and fault diagnosis of a real Cooling Tower Fan system. It runs stably. The developed on-line condition monitoring and fault diagnosis system can also be applied to other fan systems.更多还原