Diagnosis of tool wear based on cutting forces and acoustic emission measures as inputs to a neural network. - Krzysztof Jemielniak; Leszek Kwiatkowski; Pawel Wrzosek (J. Intell. Manuf., 1998)

Tool Condition Monitoring Using the TSK Fuzzy Approach Based on Subtractive Clustering Method. - Qun Ren; Marek Balazinski; Luc Baron; Krzysztof Jemielniak (IEA/AIE, 2008)

Modelling of dynamic micromilling cutting forces using type-2 fuzzy rule-based system. - Qun Ren; Luc Baron; Krzysztof Jemielniak; Marek Balazinski (FUZZ-IEEE, 2010)

TSK fuzzy modeling for tool wear condition in turning processes: An experimental study. - Qun Ren; Marek Balazinski; Luc Baron; Krzysztof Jemielniak (Eng. Appl. Artif. Intell., 2011)

Fuzzy cutting force modelling in micro-milling. - Qun Ren; Luc Baron; Marek Balazinski; Krzysztof Jemielniak (J. Intell. Fuzzy Syst., 2013)

Experimental and fuzzy modelling analysis on dynamic cutting force in micro milling. - Qun Ren; Marek Balazinski; Krzysztof Jemielniak; Luc Baron; Sofiane Achiche (Soft Comput., 2013)

Reliable Tool Life Estimation with Multiple Acoustic Emission Signal Feature Selection and Integration Based on Type-2 Fuzzy Logic. - Qun Ren; Luc Baron; Marek Balazinski; Krzysztof Jemielniak (Advances in Type-2 Fuzzy Sets and Systems, 2013)

Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling. - Qun Ren; Marek Balazinski; Luc Baron; Krzysztof Jemielniak; Ruxandra Mihaela Botez; Sofiane Achiche (Inf. Sci., 2014)

An enhanced adaptive neural fuzzy tool condition monitoring for turning process. - Qun Ren; Sofiane Achiche; Krzysztof Jemielniak; Pascal Bigras (FUZZ-IEEE, 2016)