Model-based Failure Diagnostics and Reliability Prognostics for High Power White Light-emitting Diodes Lighting

i Abstract Nowadays, with increasing concern on environmental protection, energy crisis, and quality of life, in the context of the lighting industry, Solid-state Lighting (SSL) is considered as the next generation green lighting source, following the conventional lighting sources (like incandescent bulbs and fluorescent lamps). As a type of SSL, High Power White Light-emitting diodes (HPWLEDs) lighting, which exhibits higher luminous efficacy, longer lifetime and environmental friendliness, has begun to be used in a broad range of applications, such as general lighting, TV backlighting, traffic signals and so on. However, the mass application of LED lighting in our daily lives still faces several difficulties in areas such as cost control, failure prediction and maintenance. This can be attributed to the limitations of traditional reliability assessment and prediction methods in the new electronics-rich systems. Hence, developing a fast, accurate and effective reliability testing and prediction method to determine the service life for LED lighting is becoming a key issue in popularizing this novel electronic device in the lighting market. This research developed failure diagnosis and reliability prediction methods for HPWLEDs lighting within the Prognostics and Health Management (PHM) methodology framework. The originality of this work mainly relates to the establishment of failure criteria and data analysis methods for HPWLEDs lighting.