A Unified System Residual Life Prediction Method Based on Selected Tribodiagnostic Data

This paper proposes a new systematic method for assessing system material wear to build a system degradation model and estimate residual technical life. Selected metal wear debris from lubricating oil, which contains information about the lubricant conditions and system conditions, is analyzed. We f...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.44087-44096
Hauptverfasser:	Yan, Shufa, Ma, Biao, Zheng, Changsong
Format:	Artikel
Sprache:	eng
Schlagworte:	Bivariate analysis Condition-based maintenance Construction materials Copper Data models Debris Degradation Friction Hidden Markov models Iron Life prediction Lubricants Lubricating oils Maintenance costs material wear and system degradation MTBF offline diagnostics Oil fields Optimization Predictive models Preventive maintenance remaining life assessment system degradation model System reliability Wear particles
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