摘要
振动信号的分析与识别是影响光纤周界系统性能的关键技术。综述了近几年光纤振动信号识别的典型算法,包括经验模态分解识别算法、神经网络识别算法、支持向量机识别算法、极速学习机识别算法和随机配置网络识别算法。比较分析了这些算法存在的的优缺点,展望了光纤振动信号识别算法的发展趋势。
Vibration signal analysis and recognition is one of the key technologies that affect the performance of perimeter system.This paper summarizes several algorithms commonly used in the field of optical fiber vibration signal recognition in recent years,including empirical mode decomposition recognition algorithm,neural network recognition algorithm,support vector machine recognition algorithm,extreme learning machine recognition algorithm,and stochastic configuration network recognition algorithm.The advantages and disadvantages of these algorithms are compared and the development trend of optical fiber vibration signal recognition algorithm is prospected.
作者
尚秋峰
巩彪
SHANG Qiufeng;GONG Biao(Department of Electronic and Communication Engineering,North China Electric Power University,Baoding Hebei 071003,China;Hebei Key Laboratory of Power Internet of Things Technology,North China Electric Power University,Baoding Hebei 071003,China;Baoding Key Laboratory of Optical Fiber Sensing and Optical Communication Technology,North China Electric Power University,Baoding Hebei 071003,China)
出处
《光通信技术》
2021年第5期16-20,共5页
Optical Communication Technology
基金
国家自然科学基金(61775057)资助
河北省自然科学基金(E2019502179)资助。
关键词
振动信号
光纤周界系统
综述
识别算法
发展趋势
vibration signal
fiber perimeter system
summary
recognition algorithm
development trend
