Testing interval investigation using Bayesian approach

The Bayes' theorem is applied for reliability parameters estimation, control and testing alternatives investigation. The method how to control the reliability parameters considering data uncertainty and testing of safety important system is also considered. The practical methodologies are described in order to show how to apply methods and models based on Bayesian approach, to calculate the updated failure rate and to specify and control test time or inspections required to keep an acceptable system failure rate or mean time before failure (MTBF) at a given uncertainty level, i.e. confidence level. Required test time estimation is based on MTBF objective or mean demand amount before failure during start for service and a desired confidence level. Similarly, the new testing interval can be proposed according to the design failure rate and reliability parameters control based on proposed inverted Bayesian approachLietuvos energetikos institutasVytauto Didžiojo universiteta