Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing

Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites

(2015) A.I. Azmi   ADVANCES IN ENGINEERING SOFTWARE

A novel random fuzzy neural networks for tackling uncertainties of electric load forecasting

(2015) Chin Wang Lou et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Real-time tool wear monitoring in milling using a cutting condition independent method

(2015) Mehdi Nouri et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

DNA based computing for understanding complex shapes

(2014) A.M.M. Sharif Ullah et al.   BIOSYSTEMS

Comparison of applying static and dynamic features for drill wear prediction

(2014) Jie XU et al.   Journal of Advanced Mechanical Design Systems and Manufacturing

Performance of Using Cascade Forward Back Propagation Neural Networks for Estimating Rain Parameters with Rain Drop Size Distribution

(2014) Siddi Tengeleng et al.   Atmosphere

Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling

(2013) Qun Ren et al.   INFORMATION SCIENCES

IN-PROCESS TOOL CONDITION MONITORING USING ACOUSTIC EMISSION SENSOR IN MICROENDMILLING

(2013) M. Prakash et al.   MACHINING SCIENCE AND TECHNOLOGY

Tool wear state recognition based on linear chain conditional random field model

(2012) Guofeng Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Hybrid Incremental Modeling Based on Least Squares and Fuzzy $K$-NN for Monitoring Tool Wear in Turning Processes

(2012) Francisco Penedo et al.   IEEE Transactions on Industrial Informatics

Continuous tool wear prediction based on Gaussian mixture regression model

(2012) Guofeng Wang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Real-Time Evaluation of Tool Flank Wear by In-Process Contact Resistance Measurement in Face Milling

(2012) Mitsuaki MURATA et al.   Journal of Advanced Mechanical Design Systems and Manufacturing

On line tool wear monitoring based on auto associative neural network

(2012) Guofeng Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Tool condition monitoring based on numerous signal features

(2011) Krzysztof Jemielniak et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Advanced monitoring of machining operations

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

FUZZY RADIAL BASIS FUNCTION (FRBF) NETWORK BASED TOOL CONDITION MONITORING SYSTEM USING VIBRATION SIGNALS

(2010) Karali Patra et al.   MACHINING SCIENCE AND TECHNOLOGY

Tool wear monitoring by machine learning techniques and singular spectrum analysis

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

Tool wear monitoring and selection of optimum cutting conditions with progressive tool wear effect and input uncertainties

(2009) Sukhomay Pal et al.   JOURNAL OF INTELLIGENT MANUFACTURING