摘要
与动态载荷识别的频域方法相比,时域方法不仅适用于线性系统,还适用于非线性系统以及能有效处理瞬态冲击激励的识别问题,近年来时域方法愈发受到学者们的关注。目前广泛应用的几种时域方法主要有—反卷积法、计权加速度法、函数逼近法、卡尔曼滤波器和递归最小二乘法、逆系统法以及新兴的智能方法等等。在对各方法研究现状的概述与总结中,分析了各自的优缺点。从研究对象、研究方法、应用领域三方面分析,非线性系统、线性时变系统将成为分析研究的重点。结论显示,与现代智能算法相结合的逆系统方法将成为新的研究热点,将其相应的载荷识别方法应用于机械设备的故障诊断也将成为今后发展的新趋势。
Load identification in time domain is applicable to both linear systems and nonlinear systems in comparisonwith that in frequency domain. Besides, the time domain method can deal with transient impact force problem effectively. Inrecent years, more attention has been paid to the time domain method. In this article, some popular time-domain methods,such as inverse convolution method, weighted acceleration technique, function approximation technique, Kalman filter andrecursive least square method, inverse system method and burgeoning intelligent algorithms, are summarized. In addition,the merits and demerits of these approaches are analyzed in the aspects of research objects, identification method andapplication area. It is indicated that nonlinear system and linear time- variant system will become the research focus, theinverse system method combined with modern intelligent algorithm will become a new research hotspot, and application ofload identification to fault diagnose will be a development trend in the future.
出处
《噪声与振动控制》
CSCD
2014年第1期6-11,共6页
Noise and Vibration Control
基金
国家自然科学基金资助项目(基金编号:50979016)
中央高校基本科研业务费专项资金项目(基金编号:HEUCFZ1115)
关键词
振动与波
载荷识别
逆问题
时域识别方法
综述
vibration and wave
load identification
inverse problem
time domain identification methods
review
