ScholarGate
Assistente

Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Response Surface Desirability Function×Contagem Rainflow×
ÁreaEngenharia de confiabilidadeEngenharia de confiabilidade
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19511974
Autor originalGeorge Box and Kenneth WilsonTatsuo Endo
TipoOptimization methodologyCycle counting algorithm
Fonte seminalBox, 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 ↗
Outros nomesRSM, Desirability function, Multi-response optimizationRainflow cycle counting, RFC
Relacionados44
ResumoResponse 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.
ScholarGateConjunto de dados
  1. v1
  2. 4 Fontes
  3. PUBLISHED
  1. v1
  2. 4 Fontes
  3. PUBLISHED

Ir para a pesquisa Baixar slides

ScholarGateComparar métodos: Response Surface Desirability Function · Rainflow Counting. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare