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Off-Board Car Diagnostics Based on Heterogeneous, Highly Imbalanced and High-Dimensional Data Using Machine Learning Techniques

Bernhard Schlegel, Universität Kassel
2020

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https://web.archive.org/web/20200826071243/https://kobra.uni-kassel.de/bitstream/handle/123456789/11698/kup_9783737607391.pdf;jsessionid=48A16027BA659CCA7230A8BD4DCBE338?sequence=1

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Two novel techniques based on cascaded Random Forests (RFs) and on density-based estimation that outperform current state of the art techniques for RUL prediction.  ...  Novel techniques are designed, implemented, validated, and compared to existing approaches based on a variety of (publicly available) data sets for general applicability.  ...  ensembles using boosting.  ... 
doi:10.17170/kobra-202008141582 fatcat:5fxhuxtvanbslpiwixu62bhqxe
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Bernhard Schlegel, Universität Kassel. "Off-Board Car Diagnostics Based on Heterogeneous, Highly Imbalanced and High-Dimensional Data Using Machine Learning Techniques." (2020)