Life Prediction for Vacuum Fluorescent Display Based on Curve Fitting of Brightness Decay

2011 ◽  
Author(s):  
Zhang Jianping ◽  
Yan Zhijiang ◽  
Wu Wenli ◽  
Zhu Wenqing
Keyword(s):  
Curve Fitting ◽  
Life Prediction ◽  
Brightness Decay ◽  
Vacuum Fluorescent Display

Study on Welding Spot Layout for a Car B-Pillar Based on the Welding Spot Fatigue Life

2014 ◽  
Vol 543-547 ◽  
pp. 219-223
Author(s):  
An Cui ◽  
Zhi Yong Wang ◽  
Yong Chen ◽  
Shi Zhan Zhang
Keyword(s):  
Fatigue Life ◽  
Prediction Model ◽  
Curve Fitting ◽  
Life Prediction ◽  
Structural Characteristics ◽  
Original Model ◽  
Optimal Layout ◽  
Welding Spot ◽  
Equal Spacing ◽  
Life Prediction Model

Based on the structural characteristics of a car B-pillar, the scheme of equal spacing layout on the welding spot partitions is adopted as the initial welding spots layout. The same constraints and loads are conducted on the models with different welding spot spacing. The highest strain values are calculated and analyzed around the welding spot areas. The fatigue life of the welding spot is calculated via the all-strain-life prediction model. The changing rule of the welding spot fatigue life under different spot spacing is obtained by the method of curve fitting. The optimal layout of the welding spots for the B-pillar is gotten finally. The layout is verified feasibility by comparing with that of the original model.

Life prediction for a vacuum fluorescent display based on two improved models using the three-parameter Weibull right approximation method

Luminescence ◽  
2017 ◽  
Vol 33 (1) ◽  
pp. 34-39 ◽  
Author(s):  
Jianping Zhang ◽  
Xing Zhang ◽  
Yu Zong ◽  
Yaofang Pan ◽  
Helen Wu ◽  
...  
Keyword(s):  
Approximation Method ◽  
Life Prediction ◽  
Vacuum Fluorescent Display

Application of the Least Squares Support Vector Machine for Life Prediction of Vital Parts

2014 ◽  
Vol 584-586 ◽  
pp. 2129-2132
Author(s):  
Hong Kai Wang ◽  
Ji Sheng Ma ◽  
Li Qing Fang ◽  
Da Lin Wu ◽  
Yan Feng Yang
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Curve Fitting ◽  
Life Prediction ◽  
Large Scale ◽  
Development Trend ◽  
Small Sample ◽  
Support Vector ◽  
Fitting Method ◽  
Curve Fitting Method

In order to better study the wear state of vital parts of the large scale equipment, and overcoming the disadvantage of small sample of vital parts, we use the least squares support vector machine (LS_SVM) algorithm to predict the wear state of vital parts. Using of quantum particle swarm optimization (QPSO) to optimize parameters least squares support vector machine, and achieved good results. Compared those with the method that use of curve fitting to predict the data development trend, show that this method is superior to the curve fitting method, and has good application value.

Dynamic Modeling and Wear-Based Remaining Useful Life Prediction of High Power Clutch Systems

2005 ◽  
Vol 48 (2) ◽  
pp. 208-217 ◽  
Author(s):  
Matthew Watson ◽  
Carl Byington ◽  
Douglas Edwards ◽  
Sanket Amin
Keyword(s):  
Dynamic Modeling ◽  
High Power ◽  
Life Prediction ◽  
Remaining Useful Life ◽  
Useful Life

Estimating ink mileage of dry toners in electrophotography

TAPPI Journal ◽  
2013 ◽  
Vol 12 (3) ◽  
pp. 9-14
Author(s):  
RENMEI XU ◽  
CELESTE M. CALKINS
Keyword(s):  
Experimental Data ◽  
Curve Fitting ◽  
Graphite Furnace ◽  
Atomic Absorption Spectrometer ◽  
Density Region ◽  
Coated Papers ◽  
Graphite Furnace Atomic Absorption ◽  
S Model ◽  
Better Than ◽  
Film Weight

This work investigates the ink mileage of dry toners in electrophotography (EP). Four different substrates were printed on a dry-toner color production Xerox iGen3 EP press. The print layout contained patches with different cyan, magenta, yellow, and black tonal values from 10% to 100%. Toner amounts on cyan patches were measured using an analytical method. Printed patches and unprinted paper samples, as well as dry toners, were dissolved in concentrated nitric acid. The copper concentrations in the dissolved solutions were analyzed by a Zeeman graphite furnace atomic absorption spectrometer. Analytical results were calculated to determine the toner amounts on paper for different tonal values. Their corresponding reflection densities were also measured. All data were plotted with OriginPro® 8 software, and four mathematical models were used for curve fitting. It was found that the C-S model fitted the experimental data of the two uncoated papers better than the other three models. None of the four models fitted the experimental data of the two coated papers, while the linear model was found to fit the data well. Linear fitting was the best in the practical density region for the two coated papers. Ink mileage curves obtained from curve fitting were used to estimate how much ink was required to achieve a target density for each paper; hence, the ink mileage was calculated. The highest ink mileage was 3.39 times the lowest ink mileage. The rougher the paper surface, the higher the requirement for ink film weight, and the lower ink mileage. No correlation was found between ink mileage and paper porosity.

Sign in / Sign up

Export Citation Format

Share Document