Forecasting Electrical Parameters of Mass-Produced LED Luminaire Using the Monte Carlo Method
Document Type
Conference Proceeding
Publication Date
2014
Publication Title
2014 IEEE Industry Application Society Annual Meeting
Abstract
This paper describes the various input variables of an LED system (electronic driver and LED), such as component behavior, tolerance, thermal effects, and manufacturing variability - which all contribute to important end-use system parameters such as watts and total lumen output. A mathematical model with probability functions is constructed in Microsoft Excel to compute electrical parameters. Sensitivity analysis and parameter forecasting is then performed via the Monte Carlo method, using the Crystal Ball add-on software package by Oracle. Forecasted results for power are then compared and verified against test results of mass production parts.
Repository Citation
Witt, William and Stankovic, Ana V., "Forecasting Electrical Parameters of Mass-Produced LED Luminaire Using the Monte Carlo Method" (2014). Electrical and Computer Engineering Faculty Publications. 357.
https://engagedscholarship.csuohio.edu/enece_facpub/357
Original Citation
W. Witt and A. V. Stankovic, "Forecasting electrical parameters of mass-produced LED luminaire using the monte carlo method," in 2014 IEEE Industry Application Society Annual Meeting, 2014, pp. 1-9.
DOI
10.1109/IAS.2014.6978425
