On-line chatter detection in milling with hybrid machine learning and physics-based model

Ensemble transfer learning for refining stability predictions in milling using experimental stability states

(2020) M. Postel et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Self-optimizing machining systems

(2020) H.-C. Möhring et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

AutoML: A survey of the state-of-the-art

(2020) Xin He et al.   KNOWLEDGE-BASED SYSTEMS

On-line chatter detection in milling using drive motor current commands extracted from CNC

(2018) Deniz Aslan et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

On-Line Energy-Based Milling Chatter Detection

(2018) Hakan Caliskan et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Feature extraction using dominant frequency bands and time-frequency image analysis for chatter detection in milling

(2018) Yun Chen et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Early chatter detection in end milling based on multi-feature fusion and 3σ criterion

(2017) Hongrui Cao et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Cyclostationarity approach for monitoring chatter and tool wear in high speed milling

(2013) M. Lamraoui et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Detection of chatter vibration in end milling applying disturbance observer

(2011) Yasuhiro Kakinuma et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Advanced monitoring of machining operations

(2010) R. Teti et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

On-line chatter detection and identification based on wavelet and support vector machine

(2009) Zhehe Yao et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY