首页|Distribution characterisation of spring durability for road excitations using maximum likelihood estimation
Distribution characterisation of spring durability for road excitations using maximum likelihood estimation
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NSTL
Elsevier
This paper presents the determination of a suitable probability function for fatigue-related reliability assessment of automotive coil springs under various road excitations using maximum likelihood estimation (MLE). The fatigue-related reliability assessment is a critical element for determining the component warranty period. The fatigue lives of the coil spring under various road excitations were obtained from experimental analysis using strain life approaches. The parameters for various distribution approach were estimated through maximum likelihood estimation (MLE). The Akaike information criterion (AIC) was used to determine the most suitable approach for fitting. As the outcome, the Nakagami distribution has shown the lowest AIC value at 330 which indicating as the most suitable fitting among other distributions. For reliability assessment, the mean time to failure (MTTF), reliability function and hazard rate was analysed. Based on these results, the suitable distribution for fatigue-related reliability characterisation were determined for improving spring life cycle assessment.
Fatigue lifeMaximum likelihood estimationAkaike information criteriaNakagami distributionGrubb 's testFATIGUE LIFE PREDICTIONRELIABILITYMODELBRIDGESSTRESSDESIGNLOAD
NSTL
Elsevier
