scholarly journals A combined universal generating function and physics of failure Reliability Prediction Method for an LED driver

2021 ◽  
Vol 23 (1) ◽  
pp. 74-83
Author(s):  
Liming Fan ◽  
Kunsheng Wang ◽  
Dongming Fan
Keyword(s):  
Generating Function ◽  
System Reliability ◽  
Light Emitting Diode ◽  
Prediction Method ◽  
Reliability Prediction ◽  
Led Driver ◽  
Physics Of Failure ◽  
Circuit Topology ◽  
Led Drivers ◽  
Universal Generating Function

The accurate and effective reliability prediction of light emitting diode (LED) drivers has emerged as a key issue in LED applications. However, previous studies have mainly focused on the reliability of electrolytic capacitors or other single components while ignoring circuit topology. In this study, universal generating function (UGF) and physics of failure (PoF) are integrated to predict the reliability of LED drivers. Utilizing PoF, lifetime data for each component are obtained. A system reliability model with multi-phase is established, and system reliability can be predicted using UGF. Illustrated by a two-channel LED driver, the beneficial effects of capacitors and MOSFETs for the reliability of LED drivers is verified. This study (i) provides a universal numerical approach to predict the lifetime of LED drivers considering circuit topology, (ii) enhances the modelling and reliability evaluation of circuits, and (iii) bridges the gap between component and circuit system levels.

A New Reliability Prediction Method Based on Physics of Failure Method for Product Design and Manufacture

2012 ◽  
Vol 548 ◽  
pp. 521-526 ◽  
Author(s):  
Xing Hao Wang ◽  
Jiang Shao ◽  
Xiao Yu Liu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Calculation ◽  
Computational Cost ◽  
Prediction Method ◽  
New Method ◽  
Reliability Prediction ◽  
Time To Failure ◽  
Physics Of Failure ◽  
First Order ◽  
Environment Stress

Different from the reliability prediction method on handbook, the reliability prediction method based on Physics of Failure (PoF) model takes failure mechanism as theoretical basis, and combines the design in-formation with the environment stress of the product to predict the time to failure. When the uncertain of the parameters is considered to predict the reliability, Monte-Carlo calculation method is always used here. How-ever, the Monte-Carlo method needs large computational cost, especially for large and complicated electronic systems. A new reliability prediction method which combines the first order reliability with the reliability pre-diction method based on PoF model was proposed. The new method utilized the first order method to calculate the position of design point and reliability index, thus Monte-Carlo calculation process was avoided. Example calculation results showed that the new method improves the prediction efficiency without decreasing the accuracy of reliability, thus it is feasible for reliability prediction of electronic product in engineering.

A Novel Synchronous Current-Doubler Rectifier for LED Drivers Without Electrolytic Capacitors

2019 ◽  
Vol 28 (10) ◽  
pp. 1950175
Author(s):  
Jianguang Ma ◽  
Xueye Wei ◽  
Liang Hu ◽  
Junhong Zhang
Keyword(s):  
High Efficiency ◽  
Light Emitting Diode ◽  
Low Cost ◽  
Electrolytic Capacitor ◽  
Storage Capacitor ◽  
Led Driver ◽  
Large Space ◽  
Light Emitting ◽  
Short Lifespan ◽  
Led Drivers

High-brightness light-emitting diode (LED) lamps have attracted much attention because of their high efficiency, simple structure, energy conservation and environmental protection aspects, and long lifetime. Thus, an LED driver must have a long lifespan, high density, and compact space. However, conventional LED power supplies use an electrolytic capacitor as the storage capacitor in the holdup time, which has a short lifespan and occupies large space. In this paper, a novel synchronous current-doubler rectifier (SCDR) method is proposed as an LED driver. The reasonably designed circuit is used to control the output voltage ripple in the normal range without adding a complicated control circuit. The proposed topology is designed using few components, has no electrolytic capacitor, and has a low cost for high-output current LED driver applications. Circuit operating principles and detailed theoretical analysis are provided in this paper. A 200-W prototype has been established and tested, and the experimental results are presented to highlight the merits of the proposed circuit.

scholarly journals New DC Grid Power Line Communication Technology Used in Networked LED Driver

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3531 ◽  
Author(s):  
Huipin Lin ◽  
Jin Hu ◽  
Xiao Zhou ◽  
Zhengyu Lu ◽  
Lujun Wang
Keyword(s):  
Communication Technology ◽  
Light Emitting Diode ◽  
Power Line ◽  
Drive Power ◽  
Led Driver ◽  
Control Command ◽  
Dc Bus ◽  
Lighting Systems ◽  
Bus Voltage ◽  
Led Drivers

In order to reduce the cost and improve the reliability, real-time performance, and installation convenience of remote-controlled light-emitting diode (LED) lighting systems, a networked LED driving technology based on the direct current (DC) grid power line carrier is proposed. In this system, an alternating current (AC)/DC bus converter converts the mains into a DC bus with multiple distributed LED drive powers on the DC bus. The AC/DC bus converter receives the user’s control command and modulates it into the DC bus voltage. The DC bus waveform changes to a square wave containing the high and low changes of the address information and command information. The LED drive power of the corresponding address receives energy from the DC bus and demodulates the commands, such as turning the lights on and off, dimming, etc., and performs the action. In order to make the waveform of the AC/DC bus converter have better rising and falling edge, this paper adopts the half-bridge topology with variable modal control. In the modulation process, the circuit works in buck mode and boost mode. Distributed LED drivers have DC/DC circuits and very simple demodulation circuits that dissipate energy and information from the DC bus. Through experiments, the technology not only simplifies the use of communication technology in application, but also reduces the application difficulty.

OPTIMAL ALLOCATION OF MULTISTATE ELEMENTS IN LINEAR CONSECUTIVELY-CONNECTED SYSTEMS WITH DELAYS

2002 ◽  
Vol 09 (01) ◽  
pp. 89-108 ◽  
Author(s):  
GREGORY LEVITIN
Keyword(s):  
Genetic Algorithm ◽  
Generating Function ◽  
System Reliability ◽  
Function Method ◽  
Optimal Allocation ◽  
Allocation Problem ◽  
Time Period ◽  
Different Characteristics ◽  
Universal Generating Function

A linear consecutively-connected system consists of N + 2 linear ordered positions. The first position contains a source of a signal and the last one contains a receiver. M statistically independent multistate elements (retransmitters) with different characteristics are to be allocated at the N intermediate positions. The elements provide retransmission of the received signal to the next few positions. Each element can have different states determined by a number of positions that are reached by the signal generated by this element. The probability of each state for any given element depends on the position where it is allocated. The signal retransmission process is associated with delays. The system fails if the signal generated by the source can not reach the receiver within a specified time period. A problem of finding an allocation of the multistate elements that provides the maximal system reliability is formulated. An algorithm based on the universal generating function method is suggested for the system reliability determination. This algorithm can handle cases where any number of multistate elements are allocated in the same position while some positions remain empty. It is shown that such an uneven allocation can provide greater system reliability than an even one. A genetic algorithm is used as an optimization tool in order to solve the optimal element allocation problem.

scholarly journals A stochastic process based reliability prediction method for LED driver

2018 ◽  
Vol 178 ◽  
pp. 140-146 ◽  
Author(s):  
Bo Sun ◽  
Xuejun Fan ◽  
Willem van Driel ◽  
Chengqiang Cui ◽  
Guoqi Zhang
Keyword(s):  
Stochastic Process ◽  
Prediction Method ◽  
Reliability Prediction ◽  
Led Driver

scholarly journals Dynamic Fuzzy Reliability Analysis of Multistate Systems Based on Universal Generating Function

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Peng Gao ◽  
Liyang Xie ◽  
Wei Hu ◽  
Chang Liu ◽  
Jinzhao Feng
Keyword(s):  
Reliability Analysis ◽  
Generating Function ◽  
System Reliability ◽  
Strength Degradation ◽  
Fuzzy Reliability ◽  
Reliability Models ◽  
Multistate Systems ◽  
Failure Dependence ◽  
Multiple Load ◽  
Universal Generating Function

Considering the fuzziness of load, strength, operational states, and state probability, reliability models of multistate systems are developed based on universal generating function (UGF). The fuzzy UGF of load and the fuzzy UGF of strength are proposed in this paper, which are used to derive the fuzzy component UGF and the fuzzy system UGF. By defining the decomposition operator and the inner product operator, failure dependence and effects of multiple load applications are taken into account in the established reliability models. Moreover, dynamic fuzzy reliability models of multistate systems are constructed considering the strength degradation of components. The results show that failure dependence and the effects of multiple load applications have significant impacts on system reliability, which considerably decrease system reliability and increase the fuzziness of system reliability under low performance requirements. Besides, in the dynamic reliability analysis of multistate systems, strength degradation dependence could lead to large computational error.

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