Intelligent Real-time Cutting Tool Condition Monitoring Based on Discrete Wavelet Transform and Fuzzy Force Pattern Recognition
Апстракт
In digital factory environment, continuous cutting tool condition monitoring becomes one of the most important issues, which leads to the higher performance and reliability of manufacturing system. In this paper a new approach to real time tool condition/breakage detection and cutting process monitoring based on hierarchical fuzzy clustering of features obtained by discrete wavelet transform of acquired signals correlated with cutting force is given. Proposed pattern recognition machine considers not only the membership of patterns to certain clusters, but also their evolution in time.
Кључне речи:
Digital factoryИзвор:
Proceedings of International IEEE Conference Mechatronics & Robotics, 2004, III, 1078-1083Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Petrović, Petar B. AU - Jakovljević, Živana PY - 2004 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5208 AB - In digital factory environment, continuous cutting tool condition monitoring becomes one of the most important issues, which leads to the higher performance and reliability of manufacturing system. In this paper a new approach to real time tool condition/breakage detection and cutting process monitoring based on hierarchical fuzzy clustering of features obtained by discrete wavelet transform of acquired signals correlated with cutting force is given. Proposed pattern recognition machine considers not only the membership of patterns to certain clusters, but also their evolution in time. C3 - Proceedings of International IEEE Conference Mechatronics & Robotics T1 - Intelligent Real-time Cutting Tool Condition Monitoring Based on Discrete Wavelet Transform and Fuzzy Force Pattern Recognition EP - 1083 SP - 1078 VL - III UR - https://hdl.handle.net/21.15107/rcub_machinery_5208 ER -
@conference{ author = "Petrović, Petar B. and Jakovljević, Živana", year = "2004", abstract = "In digital factory environment, continuous cutting tool condition monitoring becomes one of the most important issues, which leads to the higher performance and reliability of manufacturing system. In this paper a new approach to real time tool condition/breakage detection and cutting process monitoring based on hierarchical fuzzy clustering of features obtained by discrete wavelet transform of acquired signals correlated with cutting force is given. Proposed pattern recognition machine considers not only the membership of patterns to certain clusters, but also their evolution in time.", journal = "Proceedings of International IEEE Conference Mechatronics & Robotics", title = "Intelligent Real-time Cutting Tool Condition Monitoring Based on Discrete Wavelet Transform and Fuzzy Force Pattern Recognition", pages = "1083-1078", volume = "III", url = "https://hdl.handle.net/21.15107/rcub_machinery_5208" }
Petrović, P. B.,& Jakovljević, Ž.. (2004). Intelligent Real-time Cutting Tool Condition Monitoring Based on Discrete Wavelet Transform and Fuzzy Force Pattern Recognition. in Proceedings of International IEEE Conference Mechatronics & Robotics, III, 1078-1083. https://hdl.handle.net/21.15107/rcub_machinery_5208
Petrović PB, Jakovljević Ž. Intelligent Real-time Cutting Tool Condition Monitoring Based on Discrete Wavelet Transform and Fuzzy Force Pattern Recognition. in Proceedings of International IEEE Conference Mechatronics & Robotics. 2004;III:1078-1083. https://hdl.handle.net/21.15107/rcub_machinery_5208 .
Petrović, Petar B., Jakovljević, Živana, "Intelligent Real-time Cutting Tool Condition Monitoring Based on Discrete Wavelet Transform and Fuzzy Force Pattern Recognition" in Proceedings of International IEEE Conference Mechatronics & Robotics, III (2004):1078-1083, https://hdl.handle.net/21.15107/rcub_machinery_5208 .