Prognostics and Health Monitoring of LED Lighting System

被引：0

作者：

Yao Bin ^{[1
]}

Zhou Zhenwei ^{[1
]}

Lu Guoguang ^{[1
]}

Shi Zhenyu ^{[1
]}

Lai Canxiong ^{[1
]}

Huang Yun ^{[1
]}

机构：

[1] China Elect Prod Reliabil & Environm Testing Res, Sci & Technol Reliabil Phys & Applicat Elect Comp, Guangzhou, Guangdong, Peoples R China

来源：

2017 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-HARBIN) | 2017年

基金：

国家高技术研究发展计划(863计划);

关键词：

LED lighting system; PHM; PoF; data-driven; RUL;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Health monitoring of LED lighting systems is necessary for some safety critical and emergency applications. Prognostics and health monitoring (PHM) is a method for anomaly detection and remaining useful life (RUL) prediction. In this paper, the LED lighting system was defined as LED lamp which is composed of LED strings and an electrical driver. This paper introduced different PHM approach. An implementation prognostics and health monitoring roadmap for LED lamp was then presented. The PoF-based method for evaluating the reliability of LED driver was also demonstrated. Finally, data driven approach was used to assess the reliability and predict the remaining useful lifetime of LED lamp based on the test data during the sustaining natural exposure test.

引用

页码：1039 / 1042

页数：4

共 8 条

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