Finite control set model predictive control (FCS-MPC) has emerged as a powerful strategy for permanent magnet synchronous motor (PMSM) drives. However, its performance strongly depends on ...

ABB has signed a memorandum of understanding with industrial decarbonization company Alcemy to apply AI-based predictive quality control in cement production. The partnership combines ABB’s automation ...

Manufacturing processes are part of many industries and are comprised of various steps that turn raw materials into finished goods or products. From design to material sourcing, fabrication to ...

Atal Bansal is the Founder and CEO at Chetu, a global U.S.-based custom software solutions and support services provider. For centuries, quality control inspection has been time-consuming and ...

This research introduces an advanced finite control set model predictive current control (FCS-MPCC) specifically tailored for three-phase grid-connected inverters, with a primary focus on the ...

A pharmaceutical quality crisis involving nitrosamine contamination began in 2018 with the discovery of ...

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

Indian manufacturing is undergoing a significant AI-driven transformation, moving beyond traditional cost advantages to ...

Machine vision systems perform high-speed inspections with sub-millimeter precision, capturing images of every product for real-time AI analysis without fatigue or subjective judgment. Physical AI and ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

AI-powered machine vision uses synthetic data generation to inspect variable products like food items, developing quality control systems in 20 hours without manual annotation while maintaining ...