A Radar Fault Diagnosis Expert System Based on Improved CBR

The emergence of a new generation of weather radar increases the complexity of radar control system and the difficulty of troubleshooting, In order to ensure the reliability and maintenance performance of weather radar systems, This paper describes weather radar intelligent fault diagnostic expert system based on improved Case - based Reasoning (CBR) according to the author's many years of experience in radar maintenance. The radar fault diagnosis principle, fault diagnosis method based on similar distance function and how to join the hardware replacement adjustment parameter database are firstly described. Focusing CINRAD / CC radar antenna servo system hardware characteristics, the CBR method of motor drive and failure in radar servo system and the experts mentoring program of parameter detection and setting after hardware replacement are introduced in detail. Three CINRAD / CC radar fault diagnosis cases show the effectiveness and practicality of the fault diagnosis expert system.

[1]  Chen Lie Study on Radar Test and Repair Support System , 2006 .

[2]  D. Maric,et al.  Interstitial H and {H,B}, {H,C}and {H,Si} Pairs in Si and Ge , 1992 .

[3]  L.M. Tolbert,et al.  Fault diagnosis system for a multilevel inverter using a neural network , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..

[4]  Chen Liu,et al.  Research on heart sound identification technology , 2011, Science China Information Sciences.

[5]  S. Wesley Changchien,et al.  Design and implementation of a case-based reasoning system for marketing plans , 2005, Expert systems with applications.

[6]  Lalit M. Patnaik,et al.  A new ATPG technique (MultiDetect) for testing of analog macros in mixed-signal circuits , 2004, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.