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Helicopter System Reliability Analysis. Statistical Methods for Reliability Engineering Mark Andersen. System Description and Objective. Failure data collected for 3 helicopter components, totaling 40 data points
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Helicopter System Reliability Analysis Statistical Methods for Reliability Engineering Mark Andersen
System Description and Objective • Failure data collected for 3 helicopter components, totaling 40 data points • Data accounts for 37% of system failures so we can make a simplified model of the system • Perform Probabilistic analysis on failure data to determine an appropriate reliability model of the helicopter system
Methodologies • MINITAB Analysis: evaluate data to identify distribution and obtain parameter values • compute descriptive statistics, construct histogram, find good-fitting distributions, select best fitting and determine distribution parameters • MAPLE Analysis • determine analytical expressions for the failure probability distribution, survival probability function, hazard function, MTTF and MRL of the system • Raptor Simulation • model system and run simulations to compare with results of reliability equations determined with MAPLE
Shape=2.0682 Scale=521.09 Shape=1.3169 Scale=1207.28 Shape=1.3052 Scale=493.61 Results and Discussion Shape and Scale parameters determined from MINITAB analysis are used for MAPLE and Raptor analysis
Conclusion: Helicopter System Reliability Model Helicopter system can be simplified and modeled as 3 components in a series system with Weibull distributions