A novel fault identification algorithm based on smooth pseudo Wigner-Ville distribution (WVD) is proposed, which focused on the time-frequency analysis of network traffic.
通过研究网络流量的时频分析,提出了一种新的基于平滑魏格纳分布(WVD)的故障识别算法。
Online identification algorithm is developed for railway cars system parameters to realize the scheme for condition monitoring and fault diagnosis system in real time.
为客车行车安全监测诊断系统实时实现上述方案,推导了铁道车辆系统参数的在线辨识算法。
According to the modified least square algorithm of system identification technique, a diagnostic model of power transformer fault is determined and described by fuzzy relation matrix.
采用系统辨识的最小二乘法的改进算法,确定了一种用模糊关系矩阵表示电力变压器故障诊断模型。
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