Cutting tool wear monitoring based on a smart toolholder with embedded force and vibration sensors and an improved residual network

Evaluation of transducer signature selections on machine learning performance in cutting tool wear prognosis

(2022) I.-Chun Sun et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Artificial intelligence enabled smart machining and machine tools

(2022) Yu Sung Chuo et al.   Journal of Mechanical Science and Technology

Indirect monitoring of machining characteristics via advanced sensor systems: a critical review

(2022) Mehmet Erdi Korkmaz et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review

(2022) Danil Yu Pimenov et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Performance evaluation of deep e-CNN with integrated spatial-spectral features in hyperspectral image classification

(2022) M Kavitha et al.   MEASUREMENT

Online chatter detection in milling process based on fast iterative VMD and energy ratio difference

(2022) Pengfei Zhang et al.   MEASUREMENT

A novel smart toolholder with embedded force sensors for milling operations

(2022) Pengfei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel ensemble deep learning model for cutting tool wear monitoring using audio sensors

(2022) Zhixiong Li et al.   Journal of Manufacturing Processes

A GAPSO-Enhanced Extreme Learning Machine Method for Tool Wear Estimation in Milling Processes Based on Vibration Signals

(2021) Zhi Lei et al.   International Journal of Precision Engineering and Manufacturing-Green Technology

A state-of-the-art review on sensors and signal processing systems in mechanical machining processes

(2021) Mustafa Kuntoğlu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network

(2021) Xianli Liu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning

(2021) Boling Yan et al.   JOURNAL OF MANUFACTURING SYSTEMS

A data-driven approach for tool wear recognition and quantitative prediction based on radar map feature fusion

(2021) Xuebing Li et al.   MEASUREMENT

System for Tool-Wear Condition Monitoring in CNC Machines under Variations of Cutting Parameter Based on Fusion Stray Flux-Current Processing

(2021) Arturo Yosimar Jaen-Cuellar et al.   SENSORS

Development and testing of a wireless rotating triaxial vibration measuring tool holder system for milling process

(2020) Chang'an Zhou et al.   MEASUREMENT

A multi-sensor integrated smart tool holder for cutting process monitoring

(2020) Zhengyou Xie et al.   The International Journal of Advanced Manufacturing Technology

Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth

(2020) Andres Bustillo et al.   JOURNAL OF INTELLIGENT MANUFACTURING

CNN-LSTM deep learning architecture for computer vision-based modal frequency detection

(2020) Ruoyu Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A tool condition monitoring method based on two-layer angle kernel extreme learning machine and binary differential evolution for milling

(2020) Yuqing Zhou et al.   MEASUREMENT

A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends

(2020) Mustafa Kuntoğlu et al.   SENSORS

Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms

(2020) T. Mohanraj et al.   MEASUREMENT

Cutting Tool Wear Monitoring in CNC Machines Based in Spindle-Motor Stray Flux Signals

(2020) Israel Zamudio-Ramirez et al.   IEEE Transactions on Industrial Informatics

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

(2019) Wenyi Huang et al.   NEUROCOMPUTING

Smart-sensor for tool-breakage detection in milling process under dry and wet conditions based on infrared thermography

(2018) Juan A. Ramirez-Nunez et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

(2018) Van Nhan Nguyen et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Predicting tool life in turning operations using neural networks and image processing

(2018) T. Mikołajczyk et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gaussian process regression for tool wear prediction

(2018) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A wireless instrumented milling cutter system with embedded PVDF sensors

(2018) Ming Luo et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Tool condition monitoring using spectral subtraction and convolutional neural networks in milling process

(2018) Fatemeh Aghazadeh et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth

(2017) D. Yu. Pimenov et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

Development and testing of an integrated smart tool holder for four-component cutting force measurement

(2017) Zhengyou Xie et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Neural network approach for automatic image analysis of cutting edge wear

(2017) T. Mikołajczyk et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Tool wear assessment based on type-2 fuzzy uncertainty estimation on acoustic emission

(2015) Qun Ren et al.   APPLIED SOFT COMPUTING

Development and testing of an integrated rotating dynamometer on tool holder for milling process

(2015) Muhammad Rizal et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

PVDF sensor-based monitoring of milling torque

(2013) Lei Ma et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Development of a dynamometer for measuring individual cutting edge forces in face milling

(2010) G. Totis et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING