Abstract
The article describes a new concept of interactive hybrid systems for monitoring and optimization of micro- and nano-machining processes, which are equipped with voice and visual communication between the human operator and the system. These remote systems contain a speech interface and artificial intelligence. They are presented in exemplary application in the precision grinding process. The developed concept proposes an architecture of the systems equipped with a data analysis layer, process supervision layer, decision layer, communication subsystem by speech and natural language, and visual communication subsystem using voice descriptions. In the system, computational intelligence methods allow for real-time data analysis of monitored processes, configuration of the system, process supervision and optimization based on the process features and quality models. The concept allows for the development of universal and elastic systems which are independent of a type of manufacturing process, machining parameters and conditions.
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Lipinski, D., Majewski, M. (2013). Interactive Hybrid Systems for Monitoring and Optimization of Micro- and Nano-machining Processes. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42042-9_45
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DOI: https://doi.org/10.1007/978-3-642-42042-9_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-42041-2
Online ISBN: 978-3-642-42042-9
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