Browsing by Author "Pashmforoush,F."
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Article Citation Count: 0Milling process monitoring based on intelligent real-time parameter identification for unmanned manufacturing(Elsevier Inc., 2024) Tehranizadeh, Faraz; Tehranizadeh,F.; Pashmforoush,F.; Budak E., (1),This study addresses the critical need for intelligent process monitoring in unmanned manufacturing through real-time fault detection. The proposed hybrid approach, which is focused on overcoming the limitations of existing methods, utilizes machine learning (ML) for precise parameter identification in real-time to detect deviations. The ML system is developed using extensive data obtained from simulations based on enhanced force models also achieved through ML. Demonstrating over 96 % accuracy in real-time predictions, the method proves applicable for diverse unmanned manufacturing applications, including monitoring and process optimization, emphasizing its adaptability for industrial implementation using CNC controller signals. © 2024 CIRP