نتائج البحث

Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service.

• Authors : Shahin, Mohammad¹ (AUTHOR); Chen, F. Frank¹ (AUTHOR) ; Hosseinzadeh, Ali¹ (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. Oct2023, Vol. 128 Issue 9/10, p3857-3883. 27p. 1 Color Photograph, 5 Diagrams, 12 Charts, 8

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Development and implementation of real-time anomaly detection on tool wear based on stacked LSTM encoder-decoder model.

• Authors : Oshida, Taisuke¹ (AUTHOR); Murakoshi, Tomohiro¹ (AUTHOR); Zhou, Libo¹ (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. Jul2023, Vol. 127 Issue 1/2, p263-278. 16p. 4 Color Photographs, 5 Diagrams, 5 Charts, 7 Graphs.

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A preventive maintenance scheme for rotary ultrasonic vibration EDM machine tool based on PSO under reliability constraints.

• Authors : Xu, Minggang¹ (AUTHOR); Wang, Zhe¹ (AUTHOR) ; Fu, Hao¹ (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. Feb2023, Vol. 124 Issue 11/12, p4603-4613. 11p.

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Learning via acceleration spectrograms of a DC motor system with application to condition monitoring.

• Authors : Lee, Wo Jae¹ (AUTHOR) ; Wu, Haiyue¹ (AUTHOR); Huang, Aihua¹ (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. Feb2020, Vol. 106 Issue 3/4, p803-816. 14p. 7 Diagrams, 4 Charts, 4 Graphs.

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Diagnosis of spindle failure by unsupervised machine learning from in-process monitoring data in machining.

• Authors : Godreau, Victor; Ritou, Mathieu; de Castelbajac, Cosme

Subjects: DATA mining; HIGH-speed machining; GENETIC algorithms

• Source: International Journal of Advanced Manufacturing Technology; Mar2024, Vol. 131 Issue 2, p749-759, 11p

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Machine learning models for online detection of wear and friction behaviour of biomedical graded stainless steel 316L under lubricating conditions.

• Authors : Korkmaz, Mehmet Erdi; Gupta, Munish Kumar; Singh, Gurminder

Subjects: STAINLESS steel; MACHINE learning; ONLINE education

• Source: International Journal of Advanced Manufacturing Technology; Sep2023, Vol. 128 Issue 5/6, p2671-2688, 18p

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System health monitoring and prognostics – a review of current paradigms and practices.

• Authors : Kothamasu, Ranganath¹; Huang, Samuel H.¹ ; VerDuin, William H.²

• Source: International Journal of Advanced Manufacturing Technology. Apr2006, Vol. 28 Issue 9/10, p1012-1024. 13p. 3 Diagrams.

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Wear resistance of a Metco 1030A hard coating deposited on Hadfield steel by laser cladding for ore comminution application.

• Authors : Teixeira, Moisés Felipe^1,2 (AUTHOR) ; Pacheco, Jeferson T.^2,3 (AUTHOR); da Silva, Leandro J.⁴ (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. Jan2021, Vol. 112 Issue 7/8, p1873-1884. 12p. 5 Color Photographs, 3 Black and White

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A machine vision algorithm for quality control inspection of gears.

• Authors : Moru, Desmond K.^1,2 (AUTHOR) ; Borro, Diego^1,2 (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. Jan2020, Vol. 106 Issue 1/2, p105-123. 19p.

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Tool wear prediction in milling based on a GSA-BP model with a multisensor fusion method.

• Authors : Meng, Xiangfei; Zhang, Jingjie; Xiao, Guangchun

Subjects: TOOLS; ARTIFICIAL neural networks; ACOUSTIC emission

• Source: International Journal of Advanced Manufacturing Technology; Jun2021, Vol. 114 Issue 11/12, p3793-3802, 10p

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