Open AccessResearch on Fault Prediction Method of VHF Radio Station Based on L-M Algorithm
Author(s) -
Ji Ma,
Xiaoyan Wang,
Zeyuan Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1654/1/012086
Subject(s) - fault (geology) , algorithm , fault detection and isolation , computer science , real time computing , artificial neural network , artificial intelligence , seismology , actuator , geology
Aiming at the problem of intelligent detection and location of marine VHF radio station fault machine,this paper studies BP neural network algorithm, analyzes the characteristics of VHF radio stations at sea,builds fault tree model, presents an intelligent detection method of VHF radio fault using L-M (Levenberg-Marquardt) intelligent algorithm to design L-M algorithm-based automatic fault detection model for VHF stations. The feasibility and efficiency of L-M algorithm in VHF fault detection are verified by simulation. The results show that: L-M algorithm can identify fault points more quickly and accurately among VHF radio station fault detection methods. Compared with the traditional manual detection, accuracy and efficiency of L-M algorithm are greatly improved.