Comparative analysis of the time parameters for the strain gauge signal processing methods: linear convolution and Kalman filter

The article describes comparative analysis results of the signal filtering algorithms time parameters for the railway rolling stock strain gauge control. Signal filtering was carried out by two algorithms: linear convolution and Kalman filter. Filtering methods implemented in the C# programming language as a dynamic link library and built into the specialized software. After that, signal processing time for both algorithms have been tested on the equivalent data sets. The depending between processing time and amount of data parameters were built for each algorithm.