Predicting NOx sensor failure in heavy duty trucks using histogram-based random forests
Being able to accurately predict the impending failures of truck components is often associated with significant amount of cost savings, customer satisfaction and flexibility in maintenance service plans. However, because of the diversity in the way trucks typically are configured and their usage un...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Prognostics and Health Management Society
2017-01-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/2535 |