加速度计
微电子机械系统
验证质量
电容感应
噪音(视频)
材料科学
声学
压电
振动
停工期
电气工程
工程类
计算机科学
光电子学
物理
操作系统
图像(数学)
人工智能
可靠性工程
作者
Xuewen Gong,Wen-Jong Wu,Wei‐Hsin Liao
出处
期刊:Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018
日期:2020-04-23
被引量:4
摘要
Prognostics and health management (PHM) is a crucial measure to minimize the financial loss caused by downtime and damage in smart factories. To prevent the failures of industrial machines, a low-noise three-axis piezoelectric accelerometer in small scale is proposed to measure the vibration parameters for PHM application. It consists of a middle tungsten proof mass and 4 composite beams, which includes PZT and stainless steel layers. Simulation validates the principle of 3-axis measurement and gives the sensitivities of 0.714 mV/g, 0.714 mV/g and 1.72 mV/g for x-, y- and zaxis sensing. Calculated mechanical-thermal noise is 0.4 μg/√Hz, much lower than the typical noise of a commercial capacitive MEMS accelerometer. The designed sensor is fabricated with a metal-MEMS process and aerosol deposition method with the resonant frequency around 4.11 kHz. The testing results of x- and y-axis sensitivities, 0.5541 mV/g and 0.5420 mV/g, show the effectiveness of dual-axis measurement. In the end, the study analyzes hypotheses for the coupling of 3-axis measurement and proposes the improvement direction in further study.
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