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Research On Machinery Condition Monitoring And Fault Diagnosis System Based On SOA

Posted on:2009-09-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiFull Text:PDF
GTID:2132360242476428Subject:Mechanical design and theory
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Techniques involved with remote fault diagnosis play a very important role in assurance of machinery operation and machinery management. Research on application of remote fault diagnosis techniques has been further deepened. DCOM, CORBA, RMI and etc. have been extensively applied to development of machinery remote monitoring and fault diagnosis system. However, the design methods used as before have many disadvantages like bad reusability, difficulties with invoking between heterogeneous platforms, bad interoperability and coupling as well. Methods mentioned above can hardly achieve the requirements if easy-to-expand, cross-heterogeneous-platform and flexible condition monitoring and fault diagnosis system is wanted. On the other hand, research on distributed remote fault diagnosis system is booming gradually with the development of machinery fault diagnosis networking techniques; but currently there is a series of problems in implementing cross-region, cross-firewall and cross-platform combined system.Recently, the emergence of SOA (Service- Oriented Architecture) makes it possible to solve these problems mentioned above. SOA is a kind of architecture, and it connects different function units (service) of application by well defined contract and strategy. With advantages of loose-coupling, interoperability, expansibility and so on, SOA can implement flexible, cross-platform and scalable system easily.Concept of SOA and techniques associated with SOA are introduced into the field of machinery condition monitoring and fault diagnosis. With the support of Key Project supported by National Natural Science Foundation of China (50335030) and project supported by National Natural Science Foundation of China (50675140), architecture of distributed remote fault diagnosis system based on SOA are proposed and verified, and the enterprise condition monitoring and fault diagnosis model and system based on SOA are proposed as well. Furthermore, the subsystem of condition monitoring has been researched and implemented based on FPGA emphatically, and improvement solution of condition monitoring system based on SOA is proposed as well. Problems of reusability of legacy programs under SOA are basically solved by service-oriented techniques, as WCF and web service.Research carried out in this dissertation lays a very solid foundation for development of machinery condition monitoring and fault diagnosis system based on SOA.
Keywords/Search Tags:Condition Monitoring, Fault Diagnosis, SOA, WCF, Web Service
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