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Novel Elastomer Vibration Sensor for Machine Health-Monitoring Applications

机译:用于机器健康监测应用的新型弹性体振动传感器

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Condition-based maintenance strategies for monitoring the state of health of machinery utilize vibration sensors as early indicators of anomalous operation. Large-scale deployment of commercially available vibration sensors for such Internet of Things (IoT) applications is cost-prohibitive. We present an elastomer-based vibration sensor prepared using a low-cost sensor synthesis process with performance suitable for machine health-monitoring applications. A water-soluble polyvinyl alcohol mold manufactured using 3D printer is used to cast a polydimethylsiloxane matrix that is subsequently coated with conductive elastomeric ink to impart piezoresistivity to the sensor. The 3D printing process used for manufacturing the mold allows control over its pore size and could be used to tune the stiffness and sensitivity of the sensor. Through electro-mechanical characterization experiments baselined with a reference micro-electromechanical systems accelerometer (ADXL335), we demonstrate the capability of this elastomer sensor to discern change in vibration spectrum of a motor due to fault introduced in inner race of the motor bearing.
机译:监测机械健康状况的条件维护策略利用振动传感器作为异常操作的早期指标。用于这种物联网的市售振动传感器的大规模部署(物联网)应用是成本禁止的。我们介绍了一种基于弹性体的振动传感器,使用低成本的传感器合成过程制备,具有适用于机器健康监测应用的性能。使用3D打印机制造的水溶性聚乙烯醇模具用于施放聚二甲基硅氧烷基质,随后涂有导电弹性墨水以赋予传感器的压阻性。用于制造模具的3D打印过程允许控制其孔径,并且可用于调整传感器的刚度和灵敏度。通过基于参考微机电系统加速度计(ADXL335)的机电表征实验,我们证明了该弹性体传感器的能力,以由于在电机轴承的内部播出中引入的故障导致电动机的振动谱变化。

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