IoT Enabled Vibration Monitoring Toward Smart Maintenance

Amirhossein Khademi, F. Raji, M. Sadeghi
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引用次数: 13

Abstract

Maintenance costs are a significant part of the total operating cost of all manufacturing plants. Condition monitoring is a key element of the maintenance program. Most comprehensive predictive maintenance programs use vibration as the primary parameter to monitor. However, the typical process of vibration monitoring relies too much on the human factor and has limitations. To overcome these shortcomings, a method is proposed in this paper. Moreover, the potential IoT using for smart maintenance is demonstrated. Additionally, it is explained how it can shape the maintenance toward the Industry 4.0. and how industrial IoT can help the condition monitoring of rotating machinery using vibration analysis. In this way, a method is proposed to make rotating machinery to IoT enabled devices by adding hardware to them. This hardware was designed and developed based on the requirements. Moreover, a new generation of accelerometer sensors has been introduced to measure the vibrations. For this purpose, a data acquisition web application is developed to evaluate the hardware. The evaluations show the quite precise of the results.
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物联网支持的振动监测走向智能维护
维护成本是所有制造工厂总运营成本的重要组成部分。状态监测是维修计划的一个关键要素。最全面的预测性维护程序使用振动作为主要的监测参数。然而,典型的振动监测过程过于依赖人为因素,存在局限性。为了克服这些缺点,本文提出了一种方法。此外,还展示了物联网在智能维护方面的潜在应用。此外,还解释了它如何塑造工业4.0的维护。以及工业物联网如何通过振动分析帮助旋转机械进行状态监测。通过这种方式,提出了一种通过增加硬件使旋转机械成为物联网设备的方法。该硬件是根据需求设计和开发的。此外,还引入了新一代加速度计传感器来测量振动。为此,开发了一个数据采集web应用程序来评估硬件。计算结果表明,计算结果相当精确。
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