Title :
Radar equipment fault diagnosis method based on support vector domain description
Author :
Wei, Shang ; Yuying, Liang ; Du Minjie ; Sai, Zhu
Author_Institution :
Opt. & Electron. Eng. Dept., Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
To surmount the problem that radar equipment fault detection data to be hard get, support vector domain description is be used to diagnose radar fault, and have established the kind of classification model based on a classification. This model uses few fault sample and the sample under normal state to establish fault classification model, realizes the fault diagnosis of fault identification and complete radar equipment. Finally, through diagnose fault of logarithm magnifying circuit to verify the feasibility of this method, and reach a good diagnosis result.
Keywords :
fault diagnosis; learning (artificial intelligence); radar computing; radar equipment; fault classification model; fault identification; fault sampling; logarithm magnifying circuit; radar equipment fault diagnosis method; support vector domain description; Circuit faults; Fault diagnosis; Mathematical model; Radar equipment; Support vector machines; Training; Comparative radius; Condition monitoring; Fault diagnosis; Support vector domain description (SVDD);
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6067639