Intelligent Sensing Systems – Status of research at KaProm
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Jakovljević, ŽivanaPetrović, Milica
Mitrović, Stefan
Miljković, Zoran
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Jun, NiMajstorović, Vidosav
Djurdjanović, Dragan
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Within Industrie 4.0 intelligent sensing systems represent an indispensable asset with significant role in enabling shifting from automated to intelligent manufacturing. Instead of being simple transducers, intelligent sensors are able to retrieve useful information from raw signal. They represent systems with integrated computation and communication capabilities, that run sophisticated and real time applicable algorithms and communicate the necessary information to the other elements of the manufacturing facility.
In this paper we present the recent research results in the field of intelligent sensing systems that were accomplished at Laboratory for Manufacturing Automation and Laboratory for Robotics and Artificial Intelligence at Department for Production Engineering (KaProm) at Faculty of Mechanical Engineering in Belgrade. Presented systems are intended for application in various manufacturing processes, such as machining, assembly, manipulation, material transport, rubber proc...essing lines. They are based on application of different non-stationary signal processing (Discrete Wavelet Transform, Huang-Hilbert transform) and machine learning and artificial intelligence techniques (Support Vector Machines, Artificial Neural Networks, bio-inspired algorithms, clustering methods, fuzzy inference mechanisms). The most of developed systems are implemented in embedded devices and their real-world applicability is demonstrated.
Keywords:
Intelligent sensing systems / Cyber physical systems / Industrie 4.0Source:
Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing – AMP 2018, 2018Publisher:
- Springer International Publishing
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Mašinski fakultetTY - CONF AU - Jakovljević, Živana AU - Petrović, Milica AU - Mitrović, Stefan AU - Miljković, Zoran PY - 2018 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3958 AB - Within Industrie 4.0 intelligent sensing systems represent an indispensable asset with significant role in enabling shifting from automated to intelligent manufacturing. Instead of being simple transducers, intelligent sensors are able to retrieve useful information from raw signal. They represent systems with integrated computation and communication capabilities, that run sophisticated and real time applicable algorithms and communicate the necessary information to the other elements of the manufacturing facility. In this paper we present the recent research results in the field of intelligent sensing systems that were accomplished at Laboratory for Manufacturing Automation and Laboratory for Robotics and Artificial Intelligence at Department for Production Engineering (KaProm) at Faculty of Mechanical Engineering in Belgrade. Presented systems are intended for application in various manufacturing processes, such as machining, assembly, manipulation, material transport, rubber processing lines. They are based on application of different non-stationary signal processing (Discrete Wavelet Transform, Huang-Hilbert transform) and machine learning and artificial intelligence techniques (Support Vector Machines, Artificial Neural Networks, bio-inspired algorithms, clustering methods, fuzzy inference mechanisms). The most of developed systems are implemented in embedded devices and their real-world applicability is demonstrated. PB - Springer International Publishing C3 - Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing – AMP 2018 T1 - Intelligent Sensing Systems – Status of research at KaProm DO - 10.1007/978-3-319-89563-5_2 ER -
@conference{ author = "Jakovljević, Živana and Petrović, Milica and Mitrović, Stefan and Miljković, Zoran", year = "2018", abstract = "Within Industrie 4.0 intelligent sensing systems represent an indispensable asset with significant role in enabling shifting from automated to intelligent manufacturing. Instead of being simple transducers, intelligent sensors are able to retrieve useful information from raw signal. They represent systems with integrated computation and communication capabilities, that run sophisticated and real time applicable algorithms and communicate the necessary information to the other elements of the manufacturing facility. In this paper we present the recent research results in the field of intelligent sensing systems that were accomplished at Laboratory for Manufacturing Automation and Laboratory for Robotics and Artificial Intelligence at Department for Production Engineering (KaProm) at Faculty of Mechanical Engineering in Belgrade. Presented systems are intended for application in various manufacturing processes, such as machining, assembly, manipulation, material transport, rubber processing lines. They are based on application of different non-stationary signal processing (Discrete Wavelet Transform, Huang-Hilbert transform) and machine learning and artificial intelligence techniques (Support Vector Machines, Artificial Neural Networks, bio-inspired algorithms, clustering methods, fuzzy inference mechanisms). The most of developed systems are implemented in embedded devices and their real-world applicability is demonstrated.", publisher = "Springer International Publishing", journal = "Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing – AMP 2018", title = "Intelligent Sensing Systems – Status of research at KaProm", doi = "10.1007/978-3-319-89563-5_2" }
Jakovljević, Ž., Petrović, M., Mitrović, S.,& Miljković, Z.. (2018). Intelligent Sensing Systems – Status of research at KaProm. in Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing – AMP 2018 Springer International Publishing.. https://doi.org/10.1007/978-3-319-89563-5_2
Jakovljević Ž, Petrović M, Mitrović S, Miljković Z. Intelligent Sensing Systems – Status of research at KaProm. in Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing – AMP 2018. 2018;. doi:10.1007/978-3-319-89563-5_2 .
Jakovljević, Živana, Petrović, Milica, Mitrović, Stefan, Miljković, Zoran, "Intelligent Sensing Systems – Status of research at KaProm" in Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing – AMP 2018 (2018), https://doi.org/10.1007/978-3-319-89563-5_2 . .