Environmental worthiness prediction method for electronic product based on physics-of-failure

2016 ◽  
Author(s):  
Jiang Shao ◽  
Chenhui Zeng ◽  
Fengming Lu ◽  
Yang Wu
Keyword(s):  
Prediction Method ◽  
Physics Of Failure ◽  
Electronic Product

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.

Physics-of-failure models of erosion wear in electrohydraulic servovalve, and erosion wear life prediction method

Mechatronics ◽  
2013 ◽  
Vol 23 (8) ◽  
pp. 1202-1214 ◽  
Author(s):  
Xin Fang ◽  
Jinyong Yao ◽  
Xizhong Yin ◽  
Xun Chen ◽  
Chunhua Zhang
Keyword(s):  
Life Prediction ◽  
Prediction Method ◽  
Erosion Wear ◽  
Physics Of Failure ◽  
Wear Life ◽  
Failure Models

Vibration Fatigue Analysis of the Solder Connector

2011 ◽  
Vol 105-107 ◽  
pp. 294-298
Author(s):  
Xiao Xi Guo ◽  
Chuan Ri Li ◽  
Long Tao Liu
Keyword(s):  
Life Prediction ◽  
Random Vibration ◽  
Prediction Method ◽  
Failure Model ◽  
Ansys Software ◽  
Physical Test ◽  
Physics Of Failure ◽  
Model And Simulation ◽  
Vibration Fatigue ◽  
Environment Stress

With the increasing problems of fatigue failure of PCB in aeronautic and astronautic electronic chassis, the paper proposes a life prediction method of the solder connector based on physics of failure by simulation and physical test. The virtual modal and random vibration response of the box should be solved by finite element method in the ANSYS software, and these results have been verified by modal test and random vibration test. While the structure parameter and the environment stress of the box, the results of the simulation as the input of the vibration fatigue physics of failure model, the life of solder connector could be computed. There is a comparison between results from the CalcePWA software and it from physics of failure model and simulation.

Application of Physics of Failure Method in Reliability Design of Electronic Products

2010 ◽  
Vol 44-47 ◽  
pp. 819-823 ◽  
Author(s):  
Jiang Shao ◽  
Cheng Hui Zeng ◽  
Yong Hong Li
Keyword(s):  
Modeling And Simulation ◽  
Reliability Theory ◽  
Simulation Methods ◽  
Engineering Analysis ◽  
Prevention Measures ◽  
Physics Of Failure ◽  
Electronic Products ◽  
Reliability Design ◽  
Analysis Techniques ◽  
Electronic Product

Based on reliability theory on physics of failure, reliability information of electronic products is predicted by modeling and simulation methods. Various engineering analysis techniques are utilized and the product’s reliability is analyzed and designed. Analysis results on an electronic product example show that physics of failure method can find week problems of reliability design, advance prevention measures, mend the design to eliminate potential faults, thus improve the inherent reliability of electronic product ultimately.

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.

Reliability of an Electronic Product Fabricated of Mass-Produced Components

2018 ◽  
Vol 2018 (1) ◽  
pp. 000337-000343
Author(s):  
E. Suhir
Keyword(s):  
Failure Rate ◽  
Favorable Effect ◽  
Irreversible Processes ◽  
Physics Of Failure ◽  
Electronic Products ◽  
Electronic Product ◽  
Long Time ◽  
Normal Law ◽  
Future Work ◽  
Product Manufacturer

Abstract Bathtub curve (BTC), the reliability “passport” of an electronic product, is affected by two major irreversible processes: the decreasing with time statistics-related failure rate (SFR) process and increasing with time physics-of-failure-related failure rate (PFR) process. The first process dominates at the infant-mortality portion (IMP) of the curve and the second one – at its wear-out portion (WOP). For many electronic products these two processes compensate for each other at the BTC's steady-state portion. The SFR process can be predicted theoretically for products comprised of mass-produced components, i.e., for typical electronic products. This could be done assuming that the failure rates of the components received by an electronic product manufacturer from various and numerous vendors can be viewed as random variables distributed between zero and infinity and that the SFR and PFR processes are statistically independent. The predicted non-random SFR depends, of course, on the particular probability distribution function (PDF) of the random SFRs of its components. Two PDFs for the components' random SFR have been considered in this analysis: normal (Gaussian) and Rayleigh. The normal law turned out to be more conservative: it led to a slower decrease in the SFR of the product than the Rayleigh law. Future work should include the investigation into the most realistic distributions of the random SFR for the most critical and the most vulnerable components obtained from major vendors of the particular manufacturer, particular products and applications. The computed data indicate that the decrease in the resulting failure rate at the WOP of the BTC because of the favorable effect of the decrease of the non-random SFR with time can be appreciable for highly reliable products expected to function for a long time.

Selection of a leading edge noise prediction method for PNoise

2018 ◽  
pp. 214-223
Author(s):  
AM Faria ◽  
MM Pimenta ◽  
JY Saab Jr. ◽  
S Rodriguez
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Prediction Method ◽  
Leading Edge ◽  
Wind Farms ◽  
Broadband Noise ◽  
Turbulence Energy ◽  
Noise Prediction ◽  
Migration Routes ◽  
Turbulent Inflow

Wind energy expansion is worldwide followed by various limitations, i.e. land availability, the NIMBY (not in my backyard) attitude, interference on birds migration routes and so on. This undeniable expansion is pushing wind farms near populated areas throughout the years, where noise regulation is more stringent. That demands solutions for the wind turbine (WT) industry, in order to produce quieter WT units. Focusing in the subject of airfoil noise prediction, it can help the assessment and design of quieter wind turbine blades. Considering the airfoil noise as a composition of many sound sources, and in light of the fact that the main noise production mechanisms are the airfoil self-noise and the turbulent inflow (TI) noise, this work is concentrated on the latter. TI noise is classified as an interaction noise, produced by the turbulent inflow, incident on the airfoil leading edge (LE). Theoretical and semi-empirical methods for the TI noise prediction are already available, based on Amiet’s broadband noise theory. Analysis of many TI noise prediction methods is provided by this work in the literature review, as well as the turbulence energy spectrum modeling. This is then followed by comparison of the most reliable TI noise methodologies, qualitatively and quantitatively, with the error estimation, compared to the Ffowcs Williams-Hawkings solution for computational aeroacoustics. Basis for integration of airfoil inflow noise prediction into a wind turbine noise prediction code is the final goal of this work.

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