Study on modeling method of statistical distribution of wearing lifetime for mechanical parts

Study on modeling method of statistical distribution of wearing lifetime for mechanical parts

Current modeling methods are almost set up on the basis of wearing loss distribution, and they are more suitable for that wearing loss data is systematic and complete, such as the original data is from friction and wearing test under strict controlled conditions. A new method has been presented whic...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Xiangkai Liu, Jian Zhang, Wenhua Xing, Wancheng Yang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Automotive engineering
Friction
hypothesis testing
Life testing
lifetime
Lubrication
Monte Carlo simulation
Predictive models
reliability
Rough surfaces
Statistical distributions
Statistics
Surface roughness
Tribology
Wearing
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Beschreibung
Zusammenfassung:Current modeling methods are almost set up on the basis of wearing loss distribution, and they are more suitable for that wearing loss data is systematic and complete, such as the original data is from friction and wearing test under strict controlled conditions. A new method has been presented which is based on mean wearing rate (MWR) distribution. The basic modeling processes are: (1) Set up the distribution function of MWR. (2)Get lots of lifetime samples through Monte Carlo digital simulation of lifetime. (3)Identify the lifetime distribution by Kolmogorov hypothesis testing. (4)Estimate lifetime characteristics. It can be applied to both complete and incomplete data efficiently.
DOI:10.1109/ICIEEM.2009.5344420