摘要
传统船舶通讯故障检测方法存在多干扰源区域,由于策略问题出现通信信号间歇性传输误判的问题。导致船舶通信故障检测误判率升高,准确度降低。针对此问题,提出基于信号识别的船舶通信故障断点智能检测方法。依据检测方法策略优先的原则,采用交替分簇决策策略,修正传统方法中的策略缺失,找到正确分簇头。然后,引入混沌波协方差,在确定的信号分簇上对多干扰源进行滤除,得到纯净通信波,确定故障位置。最后,通过对比实验证明,提出的基于信号识别的船舶通信故障断点智能检测方法,能够有效解决传统方法存在的误判率高的问题。
Traditional fault detection methods for ship communication have multiple interference sources,and the problem of misjudgement of intermittent transmission of communication signals arises because of strategy problems.As a result,the misjudgment rate of ship communication fault detection is increased and the accuracy is reduced.In order to solve this problem,an intelligent detection method of ship communication breakpoint based on signal recognition is proposed.According to the principle of priority of detection strategy,alternative clustering decision strategy is adopted to correct the strategy deficiencies in traditional methods and find the correct cluster head.Then,by introducing the covariance of chaotic wave,the multiple interference sources are filtered on the determined signal cluster,and the pure communication wave is obtained,and the fault location is determined.Finally,through comparative experiments,it is proved that the proposed intelligent detection method of ship communication fault breakpoints based on signal recognition can effectively solve the problem of high misjudgment rate existing in traditional methods.
作者
余建平
YU Jian-ping(Tongji University,Shanghai200092,China;Wuhan Railway Vocational College of Technology,Wuhan430205,China)
出处
《舰船科学技术》
北大核心
2019年第12期130-132,共3页
Ship Science and Technology
关键词
通信
故障
智能
检测
communication
fault
intelligence
detection
