Analysis of vibration and acoustic sensors for machine health monitoring and its wireless implementation for low cost space applications

L. Swathy, L. Abraham
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引用次数: 8

Abstract

Vibrations produced by machinery are vital indicators of machine health. Vibration analysis is used as a tool to determine a machine's condition and the specific cause and location of problems, expediting repairs and minimizing costs. Machinery monitoring programs record a machine's vibration history. Monitoring vibration levels over time allows prediction of problems before serious damage can occur. Acoustic signal and vibration are correlated as pressure variations due to vibration create acoustic signals. The current trend of spacecraft design is to use complex and lightweight space structures to achieve increased functionality at a reduced launch cost. The goal of this research is to analyse output signals from suitable MEMS vibration as well as acoustic sensor ICs and to compare them with piezoelectric sensors. The study also aims in wireless monitoring of vibration as well as acoustic signals from rotating mechanical structures. MEMS sensors are low cost high resolution sensors with promising applications in low cost space applications such as Sounding rockets, Nano satellites and other terrestrial applications.
分析用于机器健康监测的振动和声学传感器及其在低成本空间应用中的无线实现
机器产生的振动是机器健康状况的重要指标。振动分析被用作确定机器状况和问题的具体原因和位置的工具,从而加快维修速度并最大限度地降低成本。机器监测程序记录机器的振动历史。随着时间的推移监测振动水平可以在严重损坏发生之前预测问题。声波信号和振动是相互关联的,因为振动引起的压力变化产生了声波信号。当前航天器设计的趋势是使用复杂和轻量化的空间结构,以降低发射成本实现更大的功能。本研究的目的是分析合适的MEMS振动和声学传感器ic的输出信号,并将它们与压电传感器进行比较。该研究还旨在无线监测振动以及旋转机械结构的声信号。MEMS传感器是一种低成本的高分辨率传感器,在探空火箭、纳米卫星和其他地面应用等低成本空间应用中具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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