Learn more from Analog Devices about how smart sensors play a critical role in CBM and PM performance in the industrial sector.
Today’s industrial sector is putting an increasing demand to optimize condition monitoring and diagnostics within mechanical facilities and technical systems. To achieve this, critical parameters including temperature, noise and vibration are important in helping to determine the optimal operating state and necessary times for maintenance.
This ability to detect and communicate critical information is done through predictive maintenance (PM) and condition-based monitoring (CBM). CBM, where information about the operating state is recorded in real time, is most often found in rotating machines such as turbines, fans, pumps and motors. And with added PM, predictions about possible failures or wear are also possible. But in order to create models that allow for PM to detect changes, it’s necessary to analyze vibrations, temperatures, currents, and magnetic fields. In order to form this analysis, models need smart sensors, powerful communications networks and computing platforms. In this article from Analog Devices, the main requirements for smart sensors are explored, including their key characteristics in applications such as the machine life cycle, CBM through vibration analysis, and the overall demands on vibration sensors.
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