System Reliability and Maintainability Analysis
With Systems Reliability techniques, you can construct a global model from individual ‘black-box’ life distribution models to predict times-to-failure of the entire system. This information can be used to identify critical components, bottlenecks and redundancy within any system – enabling the planning of maintenance schedules and improving overall reliability performance.
In life data analysis, the objective is to obtain a distribution that describes the times-to-failure of a component, subassembly, assembly or system. This analysis is based on the time of successful operation or time-to-failure data of the item, either under in-use conditions or from accelerated life tests. With the leading ReliaSoft BlockSim software, Wilde can assist with the construction of models (life distributions) from lower level life data analysis through our dedicated systems reliability training courses and consulting services.




