Journal
TRIBOLOGY INTERNATIONAL
Volume 120, Issue -, Pages 510-519Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.triboint.2018.01.015
Keywords
Wear debris; Oil condition monitoring; Ferrography; Improved relevance vector machine
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Funding
- National Science Foundation of China [51505360]
- Natural Science Basic Research Plan in Shaanxi Province of China [2016JM5083]
- China Scholarship Council [201608615003]
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On-line wear debris monitoring is a useful technology for real-time machine wear condition monitoring but needs further development. This study, based on previous developments of an on-line visual ferrograph (OLVF), focused on (i) data reconstruction for extracting representative and reliable wear condition related characteristics, and (ii) development of an improved model for on-line wear prediction. Wear monitoring of a diesel engine was performed using this on-line wear debris monitoring system. Experimental results and comparisons between the improved relevance vector machine (RVM) model and other models show that the improved RVM model gives an earlier warning and enhances the prediction accuracy.
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