A Radar Fault Diagnosis Expert System Based on Improved CBR

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volume 432)
• Pages: 432-436
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.432.432
• Online since: September 2013
• Authors: Hui Zhong Cheng, Xie Feng Cheng
• Keywords: Antenna Servo System, CBR, Fault Diagnosis Expert System, Weather Radar

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