Remote Condition Monitoring using Vibration Analysis for train door control systems

铁路网络中19%的运输延误是由技术故障造成的。自动门故障占这些技术故障的20%，即几乎占所有延误的4%，最近人们对自动门远程状态监测（RCM）的使用越来越感兴趣。到目前为止，RCM系统只监测运行的电子和时间参数，并使用这些异常值作为可能发生故障的指标。然而，不寻常电子状况的根本原因通常是多种原因的机械磨损故障，最终导致过度噪音，过热和电气故障。因此，该项目的目的是开发一种嵌入式低成本系统，通过加速度计捕获的振动光谱直接监测门机构的健康状况，在门发生故障之前，使用异常加速度计签名提供早期自动警告。

Technical faults cause 19% of all transport delays in the rail network. Malfunctions of automatic train doors account for 20% of these technical faults, i.e. for almost 4% of all delays and there is recent and increasing interest in the use of remote condition monitoring (RCM) of these doors. So far the RCM systems implemented monitor only operational electronic and time parameters and use unusual values of these as an indicator of likely developing faults. However, the root cause of unusual electronic conditions are usually developing mechanical wear faults of multiple causes which eventually cause excessive noise, overheating and electrical failure. Therefore the aim of this project is the development of an embedded low cost system for the direct monitoring of the health of the door mechanisms through the vibrational spectra captured by an accelerometer, with abnormal accelerometer signatures being used to provide early automated warnings before door failure occurs.