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Prediction of Lumen Output and Chromaticity Shift in LEDs Using Kalman Filter and Extended Kalman Filter Based Models | |
Lall, Pradeep1; Wei, Junchao1; Davis, Lynn2 | |
通讯作者 | Lall, Pradeep |
会议名称 | IEEE International Conference on Prognostics and Health Management (PHM) |
会议日期 | JUN 24-27, 2013 |
会议地点 | Gaithersburg, MD |
英文摘要 | Solid-state lighting (SSL) luminaires containing light emitting diodes (LEDs) have the potential of seeing excessive temperatures when being transported across country or being stored in non-climate controlled warehouses. They are also being used in outdoor applications in desert environments that see little or no humidity but will experience extremely high temperatures during the day. This makes it important to increase our understanding of what effects high temperature exposure for a prolonged period of time will have on the usability and survivability of these devices. Traditional light sources "burn out" at end-of-life. For an incandescent bulb, the lamp life is defined by B50 life. However, the LEDs have no filament to "burn". The LEDs continually degrade and the light output decreases eventually below useful levels causing failure. Presently, the TM-21 test standard is used to predict the L70 life of LEDs from LM-80 test data. Several failure mechanisms may be active in a LED at a single time causing lumen depreciation. The underlying TM-21 Model may not capture the failure physics in presence of multiple failure mechanisms. Correlation of lumen maintenance with underlying physics of degradation at system-level is needed. In this paper, Kalman Filter (KF) and Extended Kalman Filters (EKF) have been used to develop a 70-percent Lumen Maintenance Life Prediction Model for LEDs used in SSL luminaires. Ten-thousand hour LM-80 test data for various LEDs have been used for model development. System state at each future time has been computed based on the state space at preceding time step, system dynamics matrix, control vector, control matrix, measurement matrix, measured vector, process noise and measurement noise. The future state of the lumen depreciation has been estimated based on a second order Kalman Filter model and a Bayesian Framework. Life prediction of L70 life for the LEDs used in SSL luminaires from KF and EKF based models have been compared with the TM-21 model predictions and experimental data. |
英文关键词 | LEDs Life Prediction Kalman Filter Extended Kalman Filter |
来源出版物 | 2013 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT |
出版年 | 2013 |
EISBN | 978-1-4673-5722-7 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | USA |
收录类别 | CPCI-S |
WOS记录号 | WOS:000332461600049 |
WOS类目 | Computer Science, Information Systems ; Medical Informatics |
WOS研究方向 | Computer Science ; Medical Informatics |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/302312 |
作者单位 | 1.Auburn Univ, NSF CAVE3 Elect Res Ctr, Auburn, AL 36849 USA; 2.RTI INT, Res Triangle Pk, NC 27709 USA |
推荐引用方式 GB/T 7714 | Lall, Pradeep,Wei, Junchao,Davis, Lynn. Prediction of Lumen Output and Chromaticity Shift in LEDs Using Kalman Filter and Extended Kalman Filter Based Models[C]:IEEE,2013. |
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