Overcoming Four Common Obstacles to Predictive Maintenance with MATLAB and Simulink

MATLAB® and Simulink® product managers talked to more than 100 engineers and engineering managers working on predictive maintenance systems to find what these teams had in common.
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Four areas came up as common obstacles to predictive maintenance across companies and industries:

  • Do we have enough data?

  • Do we have enough failure data?

  • How do we predict failure?

  • How do we build a predictive maintenance algorithm?

Download this paper to learn how to overcome these obstacles through best practices, examples from real businesses, and an explanation of the predictive maintenance workflow.
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