نتائج البحث

Feature selection and a method to improve the performance of tool condition monitoring.

• Authors : Xie, Zhengyou¹ ; Li, Jianguang¹ ; Lu, Yong¹

• Source: International Journal of Advanced Manufacturing Technology. Feb2019, Vol. 100 Issue 9-12, p3197-3206. 10p.

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An integrated wireless vibration sensing tool holder for milling tool condition monitoring.

• Authors : Zhengyou Xie¹ ; Jianguang Li¹ ; Yong Lu¹

• Source: International Journal of Advanced Manufacturing Technology. Mar2018, Vol. 95 Issue 5-8, p2885-2896. 12p. 6 Diagrams, 1 Chart, 8 Graphs.

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Tool condition monitoring and degradation estimation in rotor slot machining process.

• Authors : Liu, Yingchao¹; Hu, Xiaofeng¹ ; Yan, Shan¹

• Source: International Journal of Advanced Manufacturing Technology. Jul2017, Vol. 91 Issue 1-4, p39-48. 10p.

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Force-based tool condition monitoring for turning process using v-support vector regression.

• Authors : Li, Ning¹; Chen, Yongjie¹; Kong, Dongdong¹

• Source: International Journal of Advanced Manufacturing Technology. Jul2017, Vol. 91 Issue 1-4, p351-361. 11p.

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Analyzing the performance of artificial neural network (ANN)-, fuzzy logic (FL)-, and least square (LS)-based models for online tool condition monitoring.

• Authors : Salimiasl, Aydin¹ ; Özdemir, Ahmet²

• Source: International Journal of Advanced Manufacturing Technology. Oct2016, Vol. 87 Issue 1-4, p1145-1158. 14p. 9 Diagrams, 9 Charts, 3 Graphs.

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State-of-the-art methods and results in tool condition monitoring: a review.

• Authors : Rehorn, Adam G.^1,2 ; Jin Jiang¹; Orban, Peter E.²

• Source: International Journal of Advanced Manufacturing Technology. Oct2005, Vol. 26 Issue 7/8, p693-710. 18p.

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Mode decoupled and sensorless cutting force monitoring based on multi-encoder.

• Authors : Yamada, Yuki; Yamato, Shuntaro; Kakinuma, Yasuhiro

Subjects: CUTTING force; CUTTING (Materials); TECHNOLOGICAL innovations

• Source: International Journal of Advanced Manufacturing Technology; Oct2017, Vol. 92 Issue 9-12, p4081-4093, 13p, 4 Diagrams, 2 Charts, 17 Graphs

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Tool wear monitoring and replacement for tubesheet drilling.

• Authors : Griffin, R.; Cao, Y.; Peng, J.

Subjects: STAINLESS steel; DRILLING & boring; MECHANICAL wear

• Source: International Journal of Advanced Manufacturing Technology; Sep2016, Vol. 86 Issue 5-8, p2011-2020, 10p, 2 Color Photographs, 3 Diagrams, 1 Chart, 8 Graphs

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A probabilistic neural network applied in monitoring tool wear in the end milling operation via acoustic emission and cutting power signals.

• Authors : da Silva, Rodrigo Henriques Lopes; da Silva, Márcio Bacci; Hassui, Amauri

Subjects: ACOUSTIC emission; CUTTING (Materials); SIGNAL processing

• Source: Machining Science & Technology; 2016, Vol. 20 Issue 3, p386-405, 20p

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The development of an end-milling process depth of cut monitoring system.

• Authors : Prickett, Paul; Siddiqui, Raees; Grosvenor, Roger

Subjects: MICROCONTROLLERS; MILLING cutters; MANUFACTURING processes

• Source: International Journal of Advanced Manufacturing Technology; Jan2011, Vol. 52 Issue 1-4, p89-100, 12p

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