Predictive maintenance is really about understanding machines behaviors to be able to reduce the downtime and the cost and also improve customer relations. With the help of IoT you can, in realtime understand how a machine is behaving and over time – as you build up that bank of experience and knowledge – be able to predict the future. For example, if a series of events have happened to a machine, you know most likely it will brake down in 2-3 weeks, or 2-3 days for that matter. With this knowledge you can send someone out to check on the machine ahead of time and fix the problem, or inform a customer that a problem is about to occur. This is one example how IoT can improve up-time and save a lot of time and money for many different types of industries.
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