\شماره٪٪۱
M\'{a}rquez, A.C. {\it The maintenance management framework: models
and methods for complex systems maintenance},
{\it Springer
Series in Reliability Engineering}, Softcover reprint of hardcover 1st
ed. (2007).
\شماره٪٪۲
Khashei, M. and Bijari, M. ``Improving the performance of financial
forecasts by combining linear and nonlinear models of stacked
moving average self-regression and artificial neural networks'',
{\it Sustainable Growth and Development Research (Economic Research)},
{\bf 8}, pp. 83-100, (In Persian) (2008).
\شماره٪٪۳
Khashei, M., Hejazi, S.R. and Bijari, M. ``A new hybrid artificial
neural networks and fuzzy regression model for time series forecasting'',
{\it Fuzzy Sets and Systems}, {\bf 159}, pp. 769-786 (2008).
\شماره٪٪۴
Khashei, M. and Bijari, M. ``Artificial neural networks
for predicting and analyzing the prices of products made by Isfahan
Steel Company in Tehran Metal Exchange (Part 2)'', {\it Foolad Monthly},
{\bf 134}, pp. 31-28, (In Persian) (1385).
\شماره٪٪۵
Bukhsh, Z.A., Saeed, A., Stipanovic, I. and et al.
``Predictive maintenance using tree-based classification techniques:
A case of railway switches'', {\it Transportation Research Part C:
Emerging Technologies}, {\bf 101}, pp. 35-54 (2019).
\شماره٪٪۶
Baptista, M., Sankararaman, S., de Medeiros, I.P. and et al.
``Forecasting fault
events for predictive maintenance using data-driven techniques
and ARMA modeling'', {\it Computers} \& {\it Industrial Engineering},
{\bf 115}, pp. 41-53 (2018).
\شماره٪٪۷
Ruschel, E., Santos, E.A.P. and Loures, E.d.F.R. ``Mining
shop-floor data for preventive maintenance management: integrating
probabilistic and predictive models'', {\it Procedia Manufacturing},
{\bf 11}, pp. 1127-1134 (2017).
\شماره٪٪۸
Kimera, D. and Nangolo, F.N. ``Predictive maintenance for
ballast pumps on ship repair yards via machine learning'', {\it Transportation
Engineering}, 100020 (2020).
\شماره٪٪۹
Bates, J.M. and Granger, C.W. ``The combination of forecasts'',
{\it Journal of the Operational Research Society}, {\bf 20}, pp. 451-468
(1969).
\شماره٪٪۱۰
Bunn, D. ``Forecasting with more than one model'', {\it Journal
of forecasting}, {\bf 8}, pp. 161-166 (1989).
\شماره٪٪۱۱
Chen, j., Chen, T., Liua, W. and et al. ``Combining
empirical mode decomposition and deep recurrent neural networks
for predictive maintenance of lithium-ion battery'', {\it Advanced
Engineering Informatics}, {\bf 50}, 101405 (2021).
\شماره٪٪۱۲
Zonta, T. Costa, C. Zeiser, F. and et al.
``A predictive maintenance model for optimizing production
schedule using deep neural networks'', {\it Journal of Manufacturing
Systems}, {\bf 62}, pp. 450-462 (2022).
\شماره٪٪۱۳
Kimera, D. and Nangolo, F. ``Improving ship yard ballast pumps'
operations: A PCA approach to predictive maintenance'', {\it Maritime
Transport Research}, {\bf 1}, 100003 (2020).
\شماره٪٪۱۴
Theissler, A.,
vel\'{a}zquez, P., Kettelgerdes, M. and et al.
``Predictive maintenance enabled by machine learning: Use cases
and challenges in the automotive industry'', {\it Reliability Engineering}
\& {\it System Safety}, {\bf 215}, 107864 (2021).
\شماره٪٪۱۵
FILA, R., EL KHAILI, M. and MESTARI, M., ``Cloud computing
for industrial predictive maintenance based on prognostics and
health management'', {\it Procedia Computer Science}, {\bf 177}, pp.
631-638 (2020).
\شماره٪٪۱۶
Cai, Y.-D., Liu, X.-J., Xu, X.-b. and et al. ``Support
vector machines for prediction of protein subcellular location'',
{\it Molecular Cell Biology Research Communications}, {\bf 4}, pp. 230-233
(2000).
\شماره٪٪۱۷
Cramer, J.S. ``An introduction to the logit model for economists paperback'',
{\it Timberlake Consultants} (2001).
\شماره٪٪۱۸
Cramer, J.S., ``The origins and development of the logit model'',
{\it Logit models from economics and other fields}, {\bf 2003}, pp.
1-19 (2003).
\شماره٪٪۱۹
Khashei, M. and Bijari, M. ``An artificial neural network
(p, d, q) model for timeseries forecasting'', {\it Expert Systems with
applications}, {\bf 37}, pp. 479-489 (2010).
\شماره٪٪۲۰
Khashei, M. ``Soft smart decision making'', {\it Faculty of Industrial
and Systems Engineering, Isfahan University of Technology}, (In
Persian) (2013).
\شماره٪٪۲۱
MR, G.R., Somu, N., and Mathur, A. ``A multilayer perceptron
model for anomaly detection in water treatment plants'',
{\it International Journal
of Critical Infrastructure Protection}, pp. 100393 (2020).
\شماره٪٪۲۲
Chauvin, Y. and Rumelhart, D.E. ``Backpropagation: theory,
architectures, and applications'', {\it Psychology press}, 1st Edition (1995).
\شماره٪٪۲۳
Sexton, T., Brundage, M.P., Hoffman, M. and et al.
``Hybrid datafication of maintenance logs from ai-assisted human
tags,'' {\it Proceeding of. 2017 IEEE International Conference on Big
Data (Big Data)}, IEEE, pp. 1769-1777 (2017).
\شماره٪٪۲۴
Chang, C.-C. and Lin, C.-J. ``LIBSVM: A library for support
vector machines'', {\it ACM transactions on intelligent systems and
technology (TIST)}, {\bf 2}, pp. 27 (2011).
\شماره٪۲۵
Vapnik, V.N. ``The nature of statistical learning'', {\it Theory},
(1995).
\شماره٪٪۲۶
Rahimi, Z.H. and Khashei, M. ``A least squares-based parallel
hybridization of statistical and intelligent models for time
series forecasting'', {\it Computers} \& {\it Industrial Engineering},
{\bf 118}, pp. 44-53 (2018).
\شماره٪٪۲۷
Carvalho, T.P., Soares, F.A. Vita, R. and et al.
``A systematic literature review
of machine learning methods applied to predictive maintenance'',
{\it Computers} \& {\it Industrial Engineering}, {\bf 137}, pp. 106024 (2019).
\شماره٪٪۲۸
Cleofas-S\'{a}nchez, L., Garcia, V., Marqu\'{e}s, A. and et al.
``Financial distress prediction using the hybrid associative
memory with translation'', {\it Applied Soft Computing}, {\bf 44}, pp.
144-152 (2016).
\شماره٪٪۲۹
Cerqueira, V., Pinto, F., S\'{a}, C. and
et al.``Combining
boosted trees with metafeature engineering for predictive maintenance,''
{\it Proceeding of. International Symposium on Intelligent Data Analysis},
Springer, pp. 393-397 (2016).
\شماره٪٪۳۰
Gondek, C., Hafner, D. and Sampson, O.R. ``Prediction of
failures in the air pressure system of scania trucks using a
random forest and feature
engineering,'' {\it Proceeding of. International Symposium
on Intelligent Data Analysis}, Springer, pp. 398-402 (2016).
\شماره٪٪۳۱
Ozan, E.C., Riabchenko, E., Kiranyaz, S. and et al.
``An optimized k-nn approach for classification on imbalanced
datasets with missing data,'' {\it Proceeding of. International Symposium
on Intelligent Data Analysis}, Springer, pp. 387-392 (2016).
\شماره٪٪۳۲
Jolliffe, I.T. ``Springer series in statistics'', {\it Principal
component analysis}, Springer Series in Statistics, 2nd
Edition, {\bf 29} (2002).
\شماره٪٪۳۳
Prusty, M.R. Jayanthi, T. Chakraborty, J. and and et al.
``Feasibility of ANFIS towards multiclass event classification
in PFBR considering dimensionality reduction using PCA'', {\it Annals
o
)