Building Block Reliability Assessment and Update Method Based on Small Sample Data
When only very few or even no whole-machine life tests can be conducted in engineering,the reliability assessment accuracy is low,for which a small-sample building block reliability assessment and update method is proposed.This method enables a high-confidence and high-reliability assessment of the whole machine's reliable life,based on current tests,past tests,and previous service life data of the electromechanical product's subsystems.It addresses the reliability assessment problem for electromechanical products when whole-machine life tests are not feasible,and provides a scientific basis for outfield use.The reliable life assessment results can be further updated using whole-machine life test data and outfield service life data of the products,increasing the information and thus significantly improving the as-sessment accuracy.The exponential,Weibull,and log-normal distributions commonly used in engineering are discussed in detail,and the corresponding reliable life assessment and update formulas for the whole machine with high confidence and high reliability are given.
万方数据
维普
