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International Journal of Systems Science Volume 33, 2002 - Issue 6
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Original Articles

Development of an Internet-based intelligent design support system for rolling element bearings

P. Y. Pan
,
K. Cheng
&
D. K. Harrison
Pages 403-419 | Published online: 26 Nov 2010

Citations (6)

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Read on this site (3)

Junxun Chen, Longsheng Cheng, Hui Yu & Shaolin Hu. (2018) Rolling bearing fault diagnosis and health assessment using EEMD and the adjustment Mahalanobis–Taguchi system. International Journal of Systems Science 49:1, pages 147-159.
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Panayiotis H. Ketikidis, Apostolos Kontogeorgis, George Stalidis & Kostis Kaggelides. (2010) Applying e-procurement system in the healthcare: the EPOS paradigm. International Journal of Systems Science 41:3, pages 281-299.
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G.P. Liu, S.C. Chai, J.X. Mu & D. Rees. (2008) Networked predictive control of systems with random delay in signal transmission channels. International Journal of Systems Science 39:11, pages 1055-1064.
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Articles from other publishers (3)

Gordana Zeba, Marina Dabić, Mirjana Čičak, Tugrul Daim & Haydar Yalcin. (2021) Technology mining: Artificial intelligence in manufacturing. Technological Forecasting and Social Change 171, pages 120971.
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Qiang Li, Changfeng Yan, Wei Wang, Abdalla Babiker & Lixiao Wu. (2019) Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis. IEEE Access 7, pages 138528-138540.
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Kai Cheng & Richard J. Bateman. (2008) e-Manufacturing: Characteristics, applications and potentials. Progress in Natural Science 18:11, pages 1323-1328.
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