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Research and Application of the Radar Intelligent Fault Diagnosis System Based on Dual-Mode Fusion

Authors:
Cheng Xie-feng
Cheng Hui-zhong

Keywords: Fault Diagnosis; wavelet BP Neural Network; Case-Based Reasoning; Dual-Mode Fusion

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 a dual-mode weather radar intelligent fault diagnostic expert system based on the author's many years of experience in radar maintenance. The radar fault diagnosis principle of wavelet back propagation neural network with improved case-based reasoning is firstly introduced, and the dual-mode fusion algorithm based on the improved diagnosis system is given later. At the end, the paper used 3830 weather radar system as an example, focusing on analyzing the failure phenomenon of system drive and the failure types, combined with the practical application to show that dual mode fusion algorithm can effectively detect the fault of weather radar in device level, plate level and chip level, three levels of diagnosis. This application example of radar fault diagnosis demonstrated that the method described in this article is effective and practical.

Pages: 110 to 116

Copyright: Copyright (c) IARIA, 2013

Publication date: July 21, 2013

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-283-7

Location: Nice, France

Dates: from July 21, 2013 to July 26, 2013