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Design And Realization Of The Intelligent Fault Diagnosis System On Integrated Navigation Display Control Console

Posted on:2008-05-23Degree:MasterType:Thesis
Country:ChinaCandidate:H P SunFull Text:PDF
GTID:2178360215959822Subject:Navigation, guidance and control
Abstract/Summary:PDF Full Text Request
Integrated Navigation Display Control Console (INDCC) is the core equipment of the navigation information processing. Its dependability associated with the safety of navigation system. How to detect the fault on the INDCC makes a big challenge to the navy maintenance and repair department.In allusion to the problems of the simple tools and shortage of peoples' experience in the formerly fault detecting, considering the actual application, the article gone deep into the analysis of the fault diagnose technique on the INDCC. The works are mainly on following aspects.Firstly, the paper described the design of the fault Diagnosis Expert System for INDCC in details. It collected and coordinated the malfunction phenomenas and detecting experiences of INDCC, on the basis of Fault Tree Analysis and the ACCESS 2000 Data Base, knowledge base of the systems was built up, and reasoning machine and explaining machine were designed on the basis of the SQL language.Secondly, sample of the fault detection based on the neural network, especially on the BP neural network, was studied. The BP model of the COM was built up, after the training by the BP improved studying algorithms which momentum was introduced into, the sample was convergent successfully and had high identification precision.Thirdly, software of the singlechip of the INDCC were studied and designed detailedly, including COM, network communication and CAN bus communication.Finally, the intelligent fault diagnosis system was implemented according to combining the expert system diagnosis, neural network diagnosis and singlechip detection.
Keywords/Search Tags:Fault Detect and Diagnosis, Expert System, BP Neural Network, Integrated Navigation Display Control Console
PDF Full Text Request
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