Equipment Remote Data Management And Analysis Of Diagnosis,

Remote signal analysis and fault diagnosis technology is the integration of network technology, computer technology, signal analysis and fault diagnosis technology, which is the result of development of science and technology. Making full use of this technology can process online sampling data, diagnose in network, eliminate malfunction and realize experts' consultation and so on. So it is very significant to the development of machinery and national economy.The rapid development of network technology makes possible the realization of remote application system. Especially with the flying development of Web and related technologies, remote signal analysis and fault diagnosis system has been supplied a more profound potential.The function demand of remote signal analysis and fault diagnosis system is analysed first, and the architecture and general planning are investigated late. In the above content, a detailed comparison is made between Browser/Server and Client/Server, and the Browser/Server structure is selected as the system architecture. Furthermore, by the analysis and comparison, the software platform of server is constructed based on Windows 2000 Server + IIS5.0 + SQL Server 2000. The main developing tools of the system are C++ Builder and Dreamweaver MX.The key technologies and their applications are introduced in detail such as DTHML, ASP, Web-Database, MIDAS and ActiveX. Emphasis is focused on how to manage the data. What's more, on the basis of the theory of database design, the more scientific and appropriate database management plan is provided. The remote data access and management function based on the plan is also realized.The analysis methods that the system adopts are introduced from the view of time-domain, frequency-domain and time-frequency-domain. Emphasis is focused on the correlation integral analysis method. The measurement parameter of signal nonstationarity defined on the basis of correlation integral is discussed, and the feasibility that it is used to diagnose the faults of dynamic nonstationarity as the characteristic parameter is also investigated with a case. The diagnosis mode of case-based reasoning is also investigated in detail.Finally, a remote signal analysis and fault diagnosis system based on the above contents is realized in the form of Web, which provides a uniform interface for the remote clients. The system has been put into practical use and brought about great effect.