Predictive maintenance is one of the most sought after machine learning solutions for IoT. It is also one of the most elusive machine learning solutions for IoT. Other areas of machine learning can easily be solved, implementing Computer Vision, for example, can be done in hours using tools such as OpenCV or Keras. To be successful with predictive maintenance you first need the right sensors. The Data collection design recipe in Chapter 2, Handling Data, can be used to help determine proper sensor placement. The Exploratory factor analysts recipe in Chapter 2, Handling Data can help determine the cadence with which the data needs to be stored. One of the biggest hurdles to implementing predictive maintenance ...
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