Life Prediction and Classification of Failure Modes in Solid State Luminaires Using Bayesian Probabilistic Models
A new method has been developed for assessment of the onset of degradation in solid state luminaires to classify failure mechanisms by using metrics beyond lumen degradation that are currently used for identification of failure. Luminous Flux output, Correlated Color Temperature Data on Philips LED Lamps has been gathered under 85°C/85%RH till lamp failure. The acquired data has been used in conjunction with Bayesian Probabilistic Models to identify luminaires with onset of degradation much prior to failure through identification of decision boundaries between lamps with accrued damage and lamps beyond the failure threshold in the feature space. In addition luminaires with different failure modes have been classified separately from healthy pristine luminaires. It is expected that, the new test technique will allow the development of failure distributions without testing till L70 life for the manifestation of failure.
- Research Organization:
- RTI International
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
- DOE Contract Number:
- EE0005124
- OSTI ID:
- 1212881
- Report Number(s):
- ECTC - 5-2014
- Resource Relation:
- Conference: 2014 IEEE 64th Electronics Components and Technology Conference (ECTC)
- Country of Publication:
- United States
- Language:
- English
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