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Feature extraction for situation indicator identification using MATLAB

It includes feature extraction using predictive maintenance workflows and signal-based methods.

The important procedure in the development of predictive maintenance algorithms is the identification of situational indicators. These are characteristics of systems that change behavior in a predictable manner as the system deteriorates. Situational indicators help distinguish between failure and normal operation. The materials include an overview of situational indicators, as well as the predictive maintenance workflow. [Contents] ■ What are situational indicators ■ Visual exercises ■ Feature extraction using signal-based methods ■ Predictive maintenance workflow ■ Overview of good features and why they are important *For more details, please refer to the PDF materials or feel free to contact us.

  • Software (middle, driver, security, etc.)

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