The manufacturing plants are moving constantly updating themselves and in this journey the industry is adopting predictive maintenance practices. There are multiple benefits that Predictive Maintenance offers: It allows you to monitor health of the equipment and eliminates failures during operation. This is achieved through predictive algorithms with data from equipment sensors. Additionally, it pinpoints the root cause of problems.
In all, Predicative Maintenance minimises downtime and maximises life of the equipment. Learn more about Predictive Maintenance through a webinar.
Webinar: Smart Asset Maintenance: From Corrective to Predictive Using MATLAB and Simulink
April 29, 2020 | 3 PM
Expert speaker: Amit Doshi, Sr. Application Engineer, MathWorks
Topics covered:
Workflow to develop a predictive maintenance algorithm
Condition indicators, their importance and techniques to extract them from your data
Applying machine learning models on the extracted condition indicators
Understand different remaining useful life (RUL) estimator models
Deploying these algorithms on edge/integrate with an enterprise system