.png?width=1500&height=700&name=Deploying%20Artificial%20Intelligence%20on%20PLCs_09Nov21%20(1).png "Deploying Artificial Intelligence on PLCs_09Nov21 (1)")
Artificial Intelligence (AI) can be leveraged in industrial applications such as predictive maintenance, machine vision for automatic inspection and analysis, virtual sensors, and more.
Highlights:
In this session, discover how industrial control systems engineers can use MATLAB® and Simulink® to design and deploy a predictive maintenance AI algorithm on PLCs or other industrial controllers.
You’ll learn how engineers can use MATLAB to quickly try out different approaches and apply their domain expertise to prepare the data and AI models.
You’ll also find out how engineers can use Simulink to integrate AI models, automatically generate C/C ++ code, and upload or deploy algorithms on industrial controllers such as PLCs. This allows engineers developing the AI model and control software to stay hardware platform-independent and focus on the design without having to worry about manual code conversion.
Wesley Teoh is an Application Engineer at TechSource Systems. He specialized in Control Systems, Image Processing, Machine Learning, and Deep Learning with MATLAB. He helps various customers across different industries with predictive failure detection using Machine Learning and Data Forecasting Analytics.
He trained in official MathWorks training programs like MATLAB Fundamental, Image Processing, and Machine Learning. He teaches and covers ASEAN regions such as Malaysia and the Philippines.
He holds a B.Eng in Electrical Engineering from the National University of Singapore (NUS), with high achievement in the intelligent systems industrial track.
Nor Aziah is a Senior Application Engineer at TechSource Systems. Her main field of specialization is in control systems, especially for Electric Vehicle applications. Previously, she worked as a Control System Engineer for electric vehicle prototype development in Perusahaan Otomobil Nasional (Proton). She also had joined MRCB-George Kent as an Electronic Access Control (EAC) Project Engineer for the LRT3 project.
Then, she had the opportunity to work with simulation on torque vectoring for the electric vehicle's prototype development in Systems Consultation and Services (SCS), using the MATLAB/Simulink. Now, she is undergoing projects related to electric vehicles, automated driving systems, and microgrids.
Aziah holds a Master of Philosophy (MPhil) in Vehicle System Engineering from Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia. Previously, she holds a bachelor's degree in Electrical-Mechatronics Engineering in Universiti Teknologi Malaysia.
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