基于振动分析的涡轮增压器工作参数监测传感器

A. Zawadzki, M. Białas, M. Orkisz, Erald Pjetri
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引用次数: 0

摘要

用于发电机、机车和船舶的大型柴油机需要使用涡轮增压器,以便为其提供最佳工作点。这些涡轮增压器经常在非常恶劣的条件下工作——高温、振动、腐蚀性废气——导致部件磨损,需要定期维修。叶片和轴承元件是最敏感的部件。运行条件,特别是过载和超速,往往是导致设备过早失效的原因。未能注意到退化的早期迹象和即将到来的维修需求可能导致严重的损坏。一些涡轮增压器装置使用监控环境和操作条件的装置,例如转速。然而,这些系统很复杂,因此成本很高。本文介绍了一种设计用于安装在涡轮增压器上的紧凑型设备,配备了许多环境传感器,如压力、湿度、温度,以及连接其他外部传感器的接口。该设备最重要的特点是,它配备了一套内置的加速度计,用于分析振动,并在不使用专用转速传感器的情况下估计转速。该设备可配备蓝牙低功耗无线连接和内部非易失性存储器用于数据收集。机载处理能力有助于计算和解释结果。因此,可以确定涡轮增压器的正常和异常工作条件,其过载,过热或过高的系统压力。定期收集的这些数据对于预测性维护非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Turbocharger Sensor Used to Monitor Operating Parameters Based on Vibration Analysis
Large-size diesel engines used in power generators, locomotives and ships require the use of turbochargers in order to provide them with optimal operating point. These turbochargers often work under very hard conditions - high temperatures, vibrations, aggressive exhaust gases - causing component wear and demanding periodic service. The blades and bearing elements are the most sensitive parts. The operating conditions, especially overloading and excessive speed, are often responsible for the premature failure of the device. Failure to notice early signs of degradation and the approaching need for service may lead to a serious damage. Some turbocharger units use devices that monitor the environmental and operating conditions, e.g. rotational speed. However, these are complex and hence costly systems. This article presents a compact device designed to be installed on a turbocharger, equipped with a number of environmental sensors, such as pressure, humidity, temperature, and interfaces to connect further external sensors. The most important feature of the device is that it is equipped with a set of built-in accelerometers for the analysis of vibrations, and for estimating the rotational speed without the use of a dedicated rotational speed sensor. The device can be equipped with bluetooth low energy wireless connectivity and internal non-volatile memory for data collection. On-board processing power helps to compute and interpret the results. Thanks to this, it is possible to determine normal and abnormal working conditions of the turbocharger, its overloads, overheating or excessive system pressure. This data, regularly collected, is very useful for predictive maintenance.
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