Mehernaz Savai, MathWorks
Predictive maintenance—the practice of forecasting equipment failures before they occur—is a high priority for many organizations looking to get business value from historical performance data. New technologies such as machine learning and big data show promising results, but they fail to capture nuances that may be obvious to domain experts familiar with these systems.
See how machine learning and big data techniques can be used with traditional model-based techniques to create hybrid approaches for predicting failures. Through examples and case studies, Mehernaz Savai shows you how MATLAB® and Simulink® combine to provide a common platform for building predictive maintenance algorithms.