The Remote Condition Monitoring And Fault Diagnosis System For Great Rotating Machine

In order to improve the solving capability and information sharing degree of condition monitoring and fault diagnosis system, and reduce the system cost at the same time, the paper applied the INTERNET technology to the remote condition monitoring and fault diagnosis system for large rotating machinery. The scheme of the system based on the INTERNET was put forward. It also discussed the principle of the system on the whole.Network communicating technology, database technology and component-based object-oriented programming technology are the key technologies in remote condition monitoring and fault diagnosis system, which are different from traditional monitoring and diagnosis system. A deep study on the basic concepts and principles of these technologies are carried in the paper. Furthermore, the way to fuse cross-platform distributed object technology into the remote condition monitoring and fault diagnosis system was brought forward. The system based on the Browser/Server mode is achieved by the JAVA, JSP and COM technology.The paper discussed the design and implementation of the client system in detail, including the design of the client LAN and the general module design of online monitoring system and the precision diagnosis system. The theories and methods on data acquisition are the points in the paper.The remote diagnosis center is based upon the implementation of remote signal analysis system. General methods of signal processing are discussed. They are accomplished by JAVA, JSP programming language in J2EE environment, which can keep the balance of system and utilize resources sufficientlyExpert-diagnosis system is an important part in the remote diagnosis center. The structure, major role and working procedure are illustrated in the paper.The remote condition monitoring and fault diagnosis system implement the monitoring and diagnosis in different area, which means the system can inspect in time both the current condition and the history information of machine. Moreover, expert-diagnosis and consultation can be held by network, which can greatly enhanced the accuracy and shooting percentage. So it has good application prospects.The production in this paper enriched the theories and methods of condition monitoring and fault diagnosis for large rotating machinery. It achieved some innovations, which built up quite a lot experience for further development of high-level system. However, remote condition monitoring and fault diagnosis system is a complicated system science involving in several fields of knowledge. Much effort should be made to improve the system.