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Ahmadzadeh, Farzaneh, Lundberg, Jan (2013) Remaining useful life prediction of grinding mill liners using an artificial neural network. Minerals Engineering, 53. 1-8 doi:10.1016/j.mineng.2013.05.026

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Reference TypeJournal (article/letter/editorial)
TitleRemaining useful life prediction of grinding mill liners using an artificial neural network
JournalMinerals Engineering
AuthorsAhmadzadeh, FarzanehAuthor
Lundberg, JanAuthor
Year2013 (November)Volume53
PublisherElsevier BV
DOIdoi:10.1016/j.mineng.2013.05.026Search in ResearchGate
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Mindat Ref. ID7718098Long-form Identifiermindat:1:5:7718098:6
GUID0
Full ReferenceAhmadzadeh, Farzaneh, Lundberg, Jan (2013) Remaining useful life prediction of grinding mill liners using an artificial neural network. Minerals Engineering, 53. 1-8 doi:10.1016/j.mineng.2013.05.026
Plain TextAhmadzadeh, Farzaneh, Lundberg, Jan (2013) Remaining useful life prediction of grinding mill liners using an artificial neural network. Minerals Engineering, 53. 1-8 doi:10.1016/j.mineng.2013.05.026
In(2013) Minerals Engineering Vol. 53. Elsevier BV

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Ahmadzadeh, Farzaneh, , Jan.Lundberg (2013) Application of multi regressive linear model and neural network for wear prediction of grinding mill liners. International Journal of Advanced Computer Science and Applications, 4. doi:10.14569/ijacsa.2013.040509
Al-Chalabi, Hussan, Ahmadzadeh, Farzaneh, Lundberg, Jan, Ghodrati, Behzad (2014) Economic lifetime prediction of a mining drilling machine using an artificial neural network. International Journal of Mining, Reclamation and Environment, 28 (5). 311-322 doi:10.1080/17480930.2014.942519
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Yan, Ji Hong, Guo, Chao Zhong, Wang, Xing, Zhao, De Bin (2010) A Data-Driven Neural Network Approach for Remaining Useful Life Prediction. Key Engineering Materials, 450. 544-547 doi:10.4028/www.scientific.net/kem.450.544
Jorjani, E., Chehreh Chelgani, S., Mesroghli, Sh. (2007) Prediction of microbial desulfurization of coal using artificial neural networks. Minerals Engineering, 20 (14). 1285-1292 doi:10.1016/j.mineng.2007.07.003
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