Predictive maintenance is one of the most impactful use cases of industrial IoT, offering a significant return on investment for both operators and vendors. However, deploying and embedding vibrational sensors (e.g., accelerometers) for predictive maintenance can be costly, as a sensor must be placed on each device (e.g., a motor or control valve). Moreover, as operators deploy more sensors, maintenance of the predictive maintenance system itself can become a challenge.
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