Predictive maintenance - the practice of forecasting equipment failures before they occur is a high priority for many organisations looking to make critical engineering decisions from data.
Learn about new capabilities in MATLAB® for big data, machine learning, and deep learning, and how these can be combined with model-driven approaches to create and deploy predictive maintenance algorithms to embedded devices and cloud analytics platforms.
Ian M. Alferez is the Senior Application Engineer at TechSource Systems. He specializes in in the field of embedded system (embedded coder configuration), data analytics (Machine Learning) and technical computing with MATLAB/Simulink. He holds a Bachelor of Science in Electronics and Communication Engineering from the University of San Carlos in Cebu, Philippines. Before joining Techsource Asia, he worked as a Software Development Engineer at Lear Corporation where he refined his skills in Model Based Design with regards to the Verification and Validation Workflow and
Embedded Software / Hardware.
He has built his forte in Process Automation with MATLAB, Production Code Customization, Optimization and Generation with Embedded Coder, MATLAB/Simulink Algorithm for Auto Code Generation and Hardware Target Deployment, Customizing the Auto Test Generation / Property Proving with Simulink Design Verifier.