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

Tool condition monitoring in milling using a force singularity analysis approach

(2020) Chang’an Zhou et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Technical data-driven tool condition monitoring challenges for CNC milling: a review

(2020) Shi Yuen Wong et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances

(2020) Aytaç Altan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

In-process tool condition forecasting based on a deep learning method

(2020) Huibin Sun et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Tool condition monitoring in the milling process with vegetable based cutting fluids using vibration signatures

(2019) Thangamuthu Mohanraj et al.   Materials Testing

In-process complex machining condition monitoring based on deep forest and process information fusion

(2019) Zhiyuan Lu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool condition monitoring in CNC end milling using wavelet neural network based on machine vision

(2019) Pauline Ong et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool wear prediction in hard turning of EN8 steel using cutting force and surface roughness with artificial neural network

(2019) Thangarasu SK et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

A novel method for tool condition monitoring based on long short-term memory and hidden Markov model hybrid framework in high-speed milling Ti-6Al-4V

(2019) Zhengrui Tao et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool condition monitoring techniques in milling process — a review

(2019) T. Mohanraj et al.   Journal of Materials Research and Technology-JMR&T

Vibration singularity analysis for milling tool condition monitoring

(2019) Chang'an Zhou et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Tool wear condition monitoring based on continuous wavelet transform and blind source separation

(2018) Tarak Benkedjouh et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Intelligent fault diagnosis of rolling bearings using an improved deep recurrent neural network

(2018) Hongkai Jiang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Prediction of cutting tool wear during milling process using artificial intelligence techniques

(2018) S. Shankar et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Dressing Tool Condition Monitoring through Impedance-Based Sensors: Part 2—Neural Networks and K-Nearest Neighbor Classifier Approach

(2018) Pedro Junior et al.   SENSORS

Development and analysis of an online tool condition monitoring and diagnosis system for a milling process and its real-time implementation

(2017) Jiwoong Lee et al.   Journal of Mechanical Science and Technology

Tool condition monitoring technique for deep-hole drilling of large components based on chatter identification in time–frequency domain

(2017) Masahiro Uekita et al.   MEASUREMENT

Fuzzy logic based tool condition monitoring for end-milling

(2017) Besmir Cuka et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Tool condition classification in turning process using hidden Markov model based on texture analysis of machined surface images

(2016) Nagaraj N. Bhat et al.   MEASUREMENT

An automatic system based on vibratory analysis for cutting tool wear monitoring

(2016) Wafaa Rmili et al.   MEASUREMENT

Application of acoustic emission sensor to investigate the frequency of tool wear and plastic deformation in tool condition monitoring

(2016) M.S.H. Bhuiyan et al.   MEASUREMENT

A PNN self-learning tool breakage detection system in end milling operations

(2015) PoTsang B. Huang et al.   APPLIED SOFT COMPUTING

A method of using Hoelder exponents to monitor tool-edge wear in high-speed finish machining

(2014) N. Fang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Force Sensor Based Tool Condition Monitoring Using a Heterogeneous Ensemble Learning Model

(2014) Guofeng Wang et al.   SENSORS

Tool condition monitoring using K-star algorithm

(2013) Sanidhya Painuli et al.   EXPERT SYSTEMS WITH APPLICATIONS

Chatter detection in milling machines by neural network classification and feature selection

(2013) Mourad Lamraoui et al.   JOURNAL OF VIBRATION AND CONTROL

Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool

(2011) M. Elangovan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm

(2010) M. Elangovan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Tool wear monitoring by machine learning techniques and singular spectrum analysis

(2010) Bovic Kilundu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results

(2009) Kunpeng Zhu et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE