Experimental investigation on thermal performances of SMD LEDs light bar: Junction-to-case thermal resistance and junction temperature estimation

Ouhadou, Malika; Amrani, Aumeur El; Messaoudi, Choukri; Ziani, Said

doi:10.1016/j.ijleo.2019.01.081

Cited by 16 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The undeniable value of wavelets in biomedical engineering is highlighted in this work. Additionally, it is mentioned that this mathematical tool can be applied to energy [37][38][39] and motor control [40,41] for electric vehicles.…”

Section: Discussionmentioning

confidence: 99%

Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods

Ziani

Farhaoui

Moutaib

2023

Big Data Min. Anal.

Self Cite

View full text Add to dashboard Cite

This paper deals with detecting fetal electrocardiogram FECG signals from single-channel abdominal lead.It is based on the Convolutional Neural Network (CNN) combined with advanced mathematical methods, such as Independent Component Analysis (ICA), Singular Value Decomposition (SVD), and a dimension-reduction technique like Nonnegative Matrix Factorization (NMF). Due to the highly disproportionate frequency of the fetus's heart rate compared to the mother's, the time-scale representation clearly distinguishes the fetal electrical activity in terms of energy. Furthermore, we can disentangle the various components of fetal ECG, which serve as inputs to the CNN model to optimize the actual FECG signal, denoted by FECGr, which is recovered using the SVD-ICA process. The findings demonstrate the efficiency of this innovative approach, which may be deployed in real-time.

show abstract

Section: Discussionmentioning

confidence: 99%

Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods

Ziani

Farhaoui

Moutaib

2023

Big Data Min. Anal.

Self Cite

View full text Add to dashboard Cite

show abstract

“…  (10) For multi-chip (source) cases, the solution can be obtained by the superposition of the contribution of each chip.…”

Section: T R P T X Y Dxdy Amentioning

confidence: 99%

“…Consequently, good thermal management is beneficial for improving stability and electro-optic conversion efficiency. An important issue is to determine the junction temperature and the thermal resistance [8][9][10] and then to optimize the design for better heat dissipation [11], [12].…”

Section: Introductionmentioning

confidence: 99%

General Analytical Method for Heat Dissipation of N-Layer High-Power LED Systems

Meng

Kong

2021

IEEE Access

View full text Add to dashboard Cite

Although the light-emitting diode (LED) has been developed into relative maturity, thermal management remains a very important problem for high-power LED systems. To obtain the temperature distribution and improve the heat dissipation of high-power LED systems, an N-layer model and the analytical solutions to temperature field and thermal resistance are proposed. The equivalent method of fins heatsink is included in modeling. The final analytical solutions are generalized to Nth to adapt flexibly to different system packaging. In particular, the analytical method has obvious advantages in dealing with the thin layer parameter analysis, and it is proved to be accurate and time-saving in comparison with the finite element simulation. The effects of the printed circuit board (PCB) composition and the heatsink on heat dissipation are analyzed in detail, and the related thermo-mechanisms are revealed in terms of thermal resistance. This work can be helpful for the pre-design of high-power LED systems.INDEX TERMS analytical method, heat dissipation, high power-LED system, N-layer model, temperature field, thermal resistance.

show abstract

A Quadratic Observer for Sensorless Drive System Controller

Hafid¹,

Ziani

Youssef³

2023

Artificial Intelligence and Smart Environment

View full text Add to dashboard Cite

Experimental investigation on thermal performances of SMD LEDs light bar: Junction-to-case thermal resistance and junction temperature estimation

Cited by 16 publications

References 18 publications

Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods

Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods

General Analytical Method for Heat Dissipation of N-Layer High-Power LED Systems

A Quadratic Observer for Sensorless Drive System Controller

Contact Info

Product

Resources

About