摘要
为了保障舰船用通信网络的数据传输的准确性,提高舰船网络的故障智能分析能力,需要进行异常数据监测,提出一种基于舰船用通信网络传输信号瞬时频率估计的异常数据监测技术。对采集的通信网络输出信号经过时频分解完成时域与频域之间的转换,采用高阶累积量特征提取方法进行舰船用通信网络中的异常数据检测,对检测的异常数据进行干扰和冗余数据滤波处理,完成对舰船用通信网络输出信号的瞬时频率估计,分析瞬时频率的异常状态特征,实现异常数据监测。仿真结果表明,采用该方法进行舰船用通信网络的异常数据监测能提高数据挖掘的准确度,对异常数据检测的虚警较低,抗干扰能力较强。
In order to ensure the accuracy of data transmission of marine communication network,improve the fault intelligent ship network analysis,the need for monitoring of abnormal data,based on the marine communication network transmission signal instantaneous frequency estimation of abnormal data monitoring technology,the output signal of the communication network through the acquisition of the time-frequency decomposition to complete the conversion between time domain and frequency domain the high order cumulant feature extraction method for ship detection with abnormal data communication network,the abnormal data to detect interference and redundant data processing,the completion of the ship with the instantaneous frequency of the output signal of the communication network estimation,analysis of abnormal state characteristic of instantaneous frequency,the simulation results show that the abnormal data monitoring.The abnormal data,using the method of monitoring the marine communication network can improve the accuracy of data mining,the abnormal data.The false alarm is low and the anti-interference ability is stronger.
出处
《舰船科学技术》
北大核心
2017年第18期127-129,182,共4页
Ship Science and Technology
关键词
舰船
通信网络
异常数据
监测
数据挖掘
ship
communication network
abnormal data
monitoring
data mining
