基于改进AMD的岸边集装箱起重机大车轨道顶部高低差计算方法研究

Method for calculating the height difference between the tworail tops of quayside container crane runway based on improved AMD

计算岸边集装箱起重机大车轨道顶部高低差的过程中,需要在大数据量情况下提取角度振动信号中的超低频趋势项,针对这一问题,提出了一种将原始的解析模态分解(AMD)和滑动平均算法相结合的改进AMD法。首先,对比了改进AMD法和原始AMD法对仿真信号和实测信号的超低频趋势项提取结果,证明了改进AMD法能消除结果中随机噪声的不良影响;然后,采用了改进AMD法、小波包分解(WPD)法以及经验模态分解(EMD)法分别对参数不同的仿真信号和实测信号进行了处理;并对3种方法的性能进行了比较分析。研究结果表明:在上述3种方法中,以改进AMD法的性能为最优;基于改进AMD法的计算方法能准确、高效地计算出监测区间内岸边集装箱起重机大车轨道的顶部高低差,非常适合用于获取该参数长时期内的状态变化。

Aiming at the problem of extracting the ultra-low frequency trend in the angle vibration signal with large amount of data during the process of calculating the height difference between the two rail tops of quayside container crane runway,an improved analytical mode decomposition(AMD)method combining the original AMD and the moving average algorithm was proposed.The ultra-low frequency trends of the simulated signal and the actual measured signal extracted by the improved AMD method and the original AMD method were compared,which proved that the improved AMD method can eliminate the adverse effect of random noise in the results.The improved AMD method,wavelet packet decomposition(WPD)method and empirical mode decomposition(EMD)method were applied to the simulated signals and the actual measured signals with different parameters and the performances of the three methods were compared.The results indicate that the improved AMD method has the best performance among the three methods.The calculating method based on the improved AMD can calculate the height difference between the two rail tops of quayside crane runway during the monitoring interval accurately and efficiently,and it is very suitable for obtaining the long-term change of the height difference.