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作 者:周宏 ZHOU Hong(School of Mechanical Engineering,Lanzhou Bowen College of Science and Technology,Lanzhou,Gansu 730101,China)
机构地区:[1]兰州博文科技学院机电工程学院,甘肃兰州730101
出 处:《机车电传动》2021年第6期129-134,共6页Electric Drive for Locomotives
摘 要:24脉波整流器在出现故障时,产生的故障信号数据量大,稀疏度低,无法准确做到故障预警。为此提出一种基于压缩感知理论(CS)的故障信号恢复重构的方法。首先,在MATLAB中搭建24脉波整流器模型,仿真出故障信号;其次,利用冗余字典对原始故障信号进行稀疏表示,并提出一种基于Dice系数相似性匹配准则的分段正交匹配追踪(Dice-StOMP)算法,该重构算法用Dice系数相似性匹配准则来替代内积度量匹配性准则,从而实现对支撑集的优化并恢复出原始信号;最后,在MATLAB中验证模型的有效性与算法的优越性。仿真结果表明,搭建的模型可以正确仿真出故障信号,而且新提出的算法相对于其他恢复算法,具有更高的重构精度与更短的重构时间。When the 24-pulse rectifier has failed,the amount of fault signal generated was large,and the sparsity was low,so the fault warning cannot be accurately performed.A method based on compressed sensing theory(CS)was proposed for fault signal recovery and reconstruction.Firstly,the 24-pulse rectifier model was built in MATLAB to simulate the fault signal.Secondly,the original fault signal was sparsely represented by redundant dictionary,and a piecewise orthogonal matching pursuit(Dice-StOMP)algorithm based on Dice coefficient similarity matching criterion was proposed,which used Dice coefficient similarity matching criterion to replace the inner product metric matching criterion,so as to optimize the support set and recover the original signal.Finally,the validity of the model and the superiority of the algorithm were verified in MATLAB.The simulation results show that the built model can correctly simulate the fault signal,and the proposed algorithm has higher reconstruction accuracy and shorter reconstruction time than other recovery algorithms.
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