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Response Surface Methodology med ønskelighetsfunksjon-optimalisering×Rainflow Counting×
FagfeltPålitelighetsteknikkPålitelighetsteknikk
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår19511974
OpphavspersonGeorge Box and Kenneth WilsonTatsuo Endo
TypeOptimization methodologyCycle counting algorithm
Opprinnelig kildeBox, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, 13(1), 1-45. DOI ↗Goodman, J. (1899). Mechanics Applied to Engineering. Longman, Green and Co. link ↗
AliasRSM, Desirability function, Multi-response optimizationRainflow cycle counting, RFC
Relaterte44
SammendragResponse Surface Methodology (RSM) is a set of statistical and mathematical techniques for modeling and optimizing processes with multiple inputs (factors) and outputs (responses). The Desirability Function approach, introduced by Harrington (1965) and refined by Derringer and Suich (1980), extends RSM to solve multi-response optimization problems by combining competing objectives into a single index. This methodology is essential in product and process development where engineers must balance performance, cost, and reliability.Rainflow counting is a fatigue cycle counting method that converts a complex stress history into individual cycles for damage assessment. Developed by Tatsuo Endo and colleagues in 1974, it provides the most physically realistic representation of fatigue damage when combined with Miner's linear cumulative damage hypothesis. The algorithm has become the industry standard in reliability engineering and vibration analysis.
ScholarGateDatasett
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ScholarGateSammenlign metoder: Response Surface Desirability Function · Rainflow Counting. Hentet 2026-06-15 fra https://scholargate.app/no/compare