PQ data analysis tool of collected data with PQ wheelset in railway vehicle running test

Abstract

Since urban railways have many sharp curves, it is necessary to pay attention to the running safety of railway bogies in sharp curves. A value called as derailment coefficient is used as an index of running safety. As the value of the derailment coefficient increases, the afford for wheel climb-up derailment decreases. For measuring the derailment coefficient, a special wheelset called PQ wheelset is generally used. By attaching this wheelset to a vehicle traveling on the commercial line, it is possible to measure the derailment coefficient of the entire route. However, since the running test using this PQ wheelset is not carried out frequently, there is a problem that automation of data analysis is not sufficiently progressed. In this research, we propose an interface that makes data analysis easier for data obtained from PQ wheelset. This system easily detects the point to be paid attention from time-series data of the derailment coefficient. Also, the system is capable of analyzing factors that cause local increase of the derailment coefficient.