Analog Devices’ new condition-based monitoring (CbM) platform is designed to accelerate the development flow of custom CbM solutions from prototype to production.
Condition-based monitoring (CbM) involves monitoring machines or assets using sensors to measure the current state of health. Predictive maintenance (PdM) involves a combination of techniques such as CbM, machine learning, and analytics to predict upcoming asset maintenance cycles or failures. With significant growth projected in machine health monitoring globally, it is imperative to know and understand the key trends.
This detailed technical article from Analog Devices explains how recent advancements in MEMS technology have pushed accelerometer sensors to the forefront, rivaling piezoelectric sensors in condition-based monitoring applications. This is the first article in a two-part series about condition-based monitoring and predictive maintenance (PdM) applications using the CN0549 development platform from Analog Devices.
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Read part two of this article: Open-source, reusable software stack enables real-time processing and algorithm development for CbM