Using a MEMS sensor for vibration monitoring
intelligent algorithms using sensor data bring the capabilities and effectiveness of such solutions to a new level. These innovative and powerful solutions can help significantly reduce the cost and inefficiencies associated with equipment line-down situations that would otherwise be inevitable. Cloud computing has become one of the critical parts of an extensive solution involving sensor data collected from multiple locations of an enterprise to ensure that there is no interruption at any
level at any location. The central processing unit in the cloud is used to combine and analyze all the data and monitor the involved machines and equipment in real-time to ensure a smooth and uninterrupted operation. Figure 3 provides a list of the essential building blocks of a vibration monitoring system. Depending on the needs and requirements of the system, a variety of sensors can be mounted on the equipment that must be monitored. The list of
sensors includes: ■ Vibration ■ Inertial sensor module ■ Temperature ■ Humidity ■ Pressure ■ Ambient light sensor ■ Inclinometer
A processing unit is required to analyze the collected data. Depending on the amount of the data, privacy, data security, latency, and power requirements, the analyses may be performed at the local processing unit or
Figure 3: Building blocks of a vibration monitoring system. (Image source: STMicroelectronics)
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