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Cutting Tool Condition Monitoring Using Artificial Intelligence - Rui Silva
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ISBN: 9783838372341

This work relates to the application of Artificial Intelligence to tool wear monitoring. The main objective is to develop an intelligent condition monitoring system able to detect when a cutting tool is worn out. It is used a combined Expert System and Neural Network able to process data coming from external sensors and combine this with information from the knowledge base and thereafter estimate the wear state of the tool. The novelty of this work is mainly associated with the configuration of the proposed system. With the combination of sensor-based information and inference rules, the result is an on-line system that can learn from experience and can update the knowledge base pertaining to information associated with different cutting conditions. Two neural networks resolve the problem of interpreting the complex sensor inputs while the Expert System, keeping track of previous success, estimates which of the two neural networks is more reliable. In this study an on-line tool wear monitoring system for turning processes has been developed which can reliably estimate the tool wear under common workshop conditions. Textbooks New Books ~~ Technology~~ Engineering (General) CUTTING-TOOL-CONDITION-MONITORING-USING-ARTIFICIAL-INTELLIGENCE~~Rui-Silva AV Akademikerverlag GmbH & Co. KG. This work relates to the application of Artificial Intelligence to tool wear monitoring. The main objective is to develop an intelligent condition monitoring system able to detect when a cutting tool is worn out. It is used a combined Expert System and Neural Network able to process data coming from external sensors and combine this with information from the knowledge base and thereafter estimate the wear state of the tool. The novelty of this work is mainly associated with the configuration of the proposed system. With the combination of sensor-based information and inference rules, the result is an on-line system that can learn from experience and can update the knowledge base pertaining to information associated with different cutting conditions. Two neural networks resolve the problem of interpreting the complex sensor inputs while the Expert System, keeping track of previous success, estimates which of the two neural networks is more reliable. In this study an on-line tool wear monitoring system for turning processes has been developed which can reliably estimate the tool wear under common workshop conditions.

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CUTTING TOOL CONDITION MONITORING USING ARTIFICIAL INTELLIGENCE - Rui Silva
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Rui Silva:
CUTTING TOOL CONDITION MONITORING USING ARTIFICIAL INTELLIGENCE - Taschenbuch

2010, ISBN: 3838372344

ID: 9612582056

[EAN: 9783838372341], Neubuch, [PU: LAP Lambert Acad. Publ. Jun 2010], This item is printed on demand - Print on Demand Neuware - This work relates to the application of Artificial Intelligence to tool wear monitoring. The main objective is to develop an intelligent condition monitoring system able to detect when a cutting tool is worn out. It is used a combined Expert System and Neural Network able to process data coming from external sensors and combine this with information from the knowledge base and thereafter estimate the wear state of the tool. The novelty of this work is mainly associated with the configuration of the proposed system. With the combination of sensor-based information and inference rules, the result is an on-line system that can learn from experience and can update the knowledge base pertaining to information associated with different cutting conditions. Two neural networks resolve the problem of interpreting the complex sensor inputs while the Expert System, keeping track of previous success, estimates which of the two neural networks is more reliable. In this study an on-line tool wear monitoring system for turning processes has been developed which can reliably estimate the tool wear under common workshop conditions. 208 pp. Englisch

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Cutting Tool Condition Monitoring Using Artificial Intelligence - Rui Silva
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Cutting Tool Condition Monitoring Using Artificial Intelligence - Taschenbuch

ISBN: 9783838372341

ID: 9783838372341

Cutting Tool Condition Monitoring Using Artificial Intelligence CUTTING-TOOL-CONDITION-MONITORING-USING-ARTIFICIAL-INTELLIGENCE~~Rui-Silva Science/Tech>Engineering>Engr Ref Paperback, AV Akademikerverlag GmbH & Co. KG.

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CUTTING TOOL CONDITION MONITORING USING ARTIFICIAL INTELLIGENCE - Silva, Rui
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Silva, Rui:
CUTTING TOOL CONDITION MONITORING USING ARTIFICIAL INTELLIGENCE - Taschenbuch

2010, ISBN: 3838372344

Gebundene Ausgabe, ID: 8219082

TURNING PROCESS - Buch, gebundene Ausgabe, 208 S., Beilagen: Paperback, Erschienen: 2010 LAP Lambert Acad. Publ.

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CUTTING TOOL CONDITION MONITORING USING ARTIFICIAL INTELLIGENCE - Silva, Rui
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Silva, Rui:
CUTTING TOOL CONDITION MONITORING USING ARTIFICIAL INTELLIGENCE - Taschenbuch

2010, ISBN: 3838372344

ID: 13788694870

[EAN: 9783838372341], Neubuch, This item is printed on demand for shipment within 3 working days.

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CUTTING TOOL CONDITION MONITORING USING ARTIFICIAL INTELLIGENCE

This work relates to the application of Artificial Intelligence to tool wear monitoring. The main objective is to develop an intelligent condition monitoring system able to detect when a cutting tool is worn out. It is used a combined Expert System and Neural Network able to process data coming from external sensors and combine this with information from the knowledge base and thereafter estimate the wear state of the tool. The novelty of this work is mainly associated with the configuration of the proposed system. With the combination of sensor-based information and inference rules, the result is an on-line system that can learn from experience and can update the knowledge base pertaining to information associated with different cutting conditions. Two neural networks resolve the problem of interpreting the complex sensor inputs while the Expert System, keeping track of previous success, estimates which of the two neural networks is more reliable. In this study an on-line tool wear monitoring system for turning processes has been developed which can reliably estimate the tool wear under common workshop conditions.

Detailangaben zum Buch - CUTTING TOOL CONDITION MONITORING USING ARTIFICIAL INTELLIGENCE


EAN (ISBN-13): 9783838372341
ISBN (ISBN-10): 3838372344
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: AV Akademikerverlag GmbH & Co. KG.

Buch in der Datenbank seit 31.10.2009 20:33:01
Buch zuletzt gefunden am 18.04.2016 08:54:11
ISBN/EAN: 9783838372341

ISBN - alternative Schreibweisen:
3-8383-7234-4, 978-3-8383-7234-1


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