@article{susto_machine_2015,
	title = {Machine {Learning} for {Predictive} {Maintenance}: {A} {Multiple} {Classifier} {Approach}},
	volume = {11},
	doi = {10.1109/TII.2014.2349359},
	number = {3},
	journal = {IEEE Transactions on Industrial Informatics},
	author = {Susto, G. A. and Schirru, A. and Pampuri, S. and McLoone, S. and Beghi, A.},
	year = {2015},
	keywords = {Availability, Classification algorithms, Informatics, Manufacturing, PdM, Predictive maintenance, Production, Training, censored data problem, data mining, dynamical decision rules, health factors, high-dimensional problem, ion implantation, learning (artificial intelligence), machine learning (ML), maintenance management, multiple classifier machine learning methodology, operating cost-based maintenance decision system, pattern classification, predictive maintenance, predictive maintenance (PdM), production engineering computing, quantitative indicators, semiconductor device manufacture, semiconductor manufacturing maintenance problem},
	pages = {812--820},
}

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