Abstract
Summary:
The above methods have been found useful in devising a simulation model for a multicylinder diesel engine whose components are subject to wear and wear interaction.
The simulation model was tested by using experimental data, for a historic run with a given maintenance policy. It was later used to derive improved policies. Unfortunately lack of data for different quality parts as well as sufficiency of data for proper analysis of interaction of component wear prevented more detailed analysis.
In these brief notes an attempt is made to consider component wear and interaction and its effect on component and system reliability. Wear can be shown to be the major interacting factor for mechanical systems.
A cautious start is presently being made to analyze operational data. Long-life mechanical systems with continuous part replacements, such as diesel engines, etc., may attain a higher operational reliability at a lower maintenance and spare parts cost if component wear interaction is taken into account.
Abstract:
Analysis of failure distributions of components of mechanical systems tends to show that interdependence of component wear may result rate interaction and be one of the reasons for the strong and complex time dependence of mechanical system failure rates. A simple approach to wear interaction is presented as a first step to a more effective analysis of actual field data.
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