西安交通大学机械制造系统工程国家重点实验室,西安,710049
网络首发:2010-01-10,
纸质出版:2010
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谭继勇, 陈雪峰, 何正嘉. 采用余弦拟合的随机共振反演技术研究[J]. 西安交通大学学报, 2010,44(1):41-45.
Study of Stochastic Resonance Recovery Based on Cosine Fitting[J]. 2010, 44(1): 41-45.
针对当前随机共振反演方法实施过程流程复杂、需要调节的参数繁多、对幅值的估计不准
以及难以处理频率相差较大的多频信号等诸多问题
提出了一种新的采用余弦拟合的随机共振反演算法.该算法采用移频变尺度随机共振检测频率
利用所得频率设计余弦曲线对输入信号进行最小二乘拟合
不需对特殊点进行特别处理
幅值不受波形畸变的影响
因此可以处理频率相差任意大小的多频信号.通过数值仿真和机车走行部故障的诊断
验证了该算法具有较强的工程实用性
同时结合频谱校正技术可以进一步提高该方法的精确性
更准确地检测出信号频率及幅值.
The conventional stochastic resonance recovery techniques are facing some troubles
such as the complex process
too many parameters
wrong estimated amplitudes
and especially the difficulty for processing the multifrequency signals with frequencies staying far away from one another. A new strategy is proposed
where frequency-shifted and re-scaling stochastic resonance are adopted to detect frequencies
the input signals are least square fitted with cosines designed based on the acquired frequencies
and no special postprocessing is required for the distorted points
the waveform distortion has no influence on the amplitude quantization. Almost all the multifrequency signals can be processed. The effectiveness is validated by a simulation and a fault quantitative diagnostic case of electric locomotive running parts. The amplitude of periodic signals can be reduced by non-periodic sampling
the accuracy is thus developed by involving the spectrum correction technology
and more accurate signal frequencies and amplitudes can be detected.
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自适应移频变尺度随机共振在故障诊断中的应用.2009,43(7):69-73.
应用复合加权偏微分方程求解的磁共振水脂分离成像算法.2009,43(11):85-89.
基于微动滑移模型的叶片阻尼结构参数研究.2007,41(5):507-511.
远程氧等离子体对大肠杆菌的灭菌效果与机理研究.2008,42(1):96-100.
微滑移阻尼叶片最优正压力的影响因素分析.2008,42(7):828-832.
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