Fan et al., 2014 - Google Patents
Prognostics of lumen maintenance for high power white light emitting diodes using a nonlinear filter-based approachFan et al., 2014
View PDF- Document ID
- 14791574489290688510
- Author
- Fan J
- Yung K
- Pecht M
- Publication year
- Publication venue
- Reliability Engineering & System Safety
External Links
Snippet
High power white light emitting diodes (HPWLEDs), with advantages in terms of luminous efficacy, energy saving, and reliability, have become a popular alternative to conventional luminaires as white light sources. Like other new electronic products, HPWLEDs must also …
- 238000005259 measurement 0 description 43
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fan et al. | Prognostics of lumen maintenance for high power white light emitting diodes using a nonlinear filter-based approach | |
| Fan et al. | Predicting long-term lumen maintenance life of LED light sources using a particle filter-based prognostic approach | |
| Ibrahim et al. | Lumen degradation lifetime prediction for high-power white LEDs based on the gamma process model | |
| Wang et al. | Useful lifetime analysis for high-power white LEDs | |
| Fan et al. | Prognostics of chromaticity state for phosphor-converted white light emitting diodes using an unscented Kalman filter approach | |
| Ibrahim et al. | Machine learning and digital twin driven diagnostics and prognostics of light‐emitting diodes | |
| Huang et al. | Lumen degradation modeling of white-light LEDs in step stress accelerated degradation test | |
| CN107238765A (en) | LED integrated driving power supply reliability analysis methods based on acceleration degradation parameter | |
| Lu et al. | Multidimensional data-driven life prediction method for white LEDs based on BP-NN and improved-adaboost algorithm | |
| Jing et al. | Lifetime prediction of ultraviolet light-emitting diodes using a long short-term memory recurrent neural network | |
| Ruknudeen et al. | Application of particle filter to on-board life estimation of LED lights | |
| Ibrahim et al. | Bayesian based lifetime prediction for high-power white LEDs | |
| Fan et al. | Optimal design of life testing for high-brightness white LEDs using the six sigma DMAIC approach | |
| Yung et al. | Prognostics-based qualification of high-power white LEDs using Lévy process approach | |
| Wu et al. | A gamma process-based prognostics method for CCT shift of high-power white LEDs | |
| Hao et al. | The design of two-step-down aging test for LED lamps under temperature stress | |
| Hamon et al. | LED degradation: From component to system | |
| CN105606212B (en) | A kind of LED product luminous flux and color maintain life-span prediction method | |
| Van Driel et al. | Lumen maintenance predictions for LED packages using LM80 data | |
| Lall et al. | L70 life prediction for solid state lighting using Kalman Filter and Extended Kalman Filter based models | |
| Fan et al. | In-situ monitoring and anomaly detection for LED packages using a Mahalanobis distance approach | |
| Ibrahim et al. | Lumen maintenance lifetime prediction for Phosphor-converted white LEDs with a Wiener process based model | |
| Lall et al. | Prediction of lumen output and chromaticity shift in LEDs using Kalman Filter and Extended Kalman Filter based models | |
| Lall et al. | Prediction of L70 lumen maintenance and chromaticity for LEDs using extended Kalman filter models | |
| Fan et al. | Anomaly detection for chromaticity shift of high power white LED with Mahalanobis distance approach |