Tool wear identification and prediction method based on stack sparse self-coding network

An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion

(2022) Xianli Liu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Novel sensor-based tool wear monitoring approach for seamless implementation in high speed milling applications

(2021) M. Hassan et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Tool wear prediction in milling based on a GSA-BP model with a multisensor fusion method

(2021) Xiangfei Meng et al.   The 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

Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems

(2021) Seulki Han et al.   JOURNAL OF MANUFACTURING SYSTEMS

A Novel Approach to Condition Monitoring of the Cutting Process Using Recurrent Neural Networks

(2020) Rui Silva et al.   SENSORS

Tool Wear Monitoring for Complex Part Milling Based on Deep Learning

(2020) Xiaodong Zhang et al.   Applied Sciences-Basel

Research on the Milling Tool Wear and Life Prediction by Establishing an Integrated Predictive Model

(2019) Yinfei Yang et al.   MEASUREMENT

Use of acoustic emission and cutting force signals to monitor built-up edge formation in stainless steel turning

(2019) Yassmin Seid Ahmed et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks

(2019) Longting Chen et al.   JOURNAL OF MANUFACTURING SYSTEMS

Tool Wear Estimation in End Milling of Titanium Alloy Using NPE and a Novel WOA-SVM Model

(2019) Dongdong Kong et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Two probabilistic life-cycle maintenance models for the deteriorating pavement

(2018) Zhijun Cheng et al.   Eksploatacja i Niezawodnosc-Maintenance and Reliability

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Tool Wear Prediction in Ti-6Al-4V Machining through Multiple Sensor Monitoring and PCA Features Pattern Recognition

(2018) Alessandra Caggiano   SENSORS

In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm

(2018) Vigneashwara Pandiyan et al.   Journal of Manufacturing Processes

A Novel Generalized Approach for Real-Time Tool Condition Monitoring

(2017) Mahmoud Hassan et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME