Influence Factors Analysis of Oil Depot Valve Internal Leakage Quantitative Inspection Using Acoustic Emission

2014 ◽  
Vol 1030-1032 ◽  
pp. 1318-1322
Author(s):  
Fu Xing Zong ◽  
Ai She Shui ◽  
Hui Wang
Keyword(s):  
Acoustic Emission ◽  
Error Estimation ◽  
Relative Error ◽  
Influence Factors ◽  
Quantitative Model ◽  
Estimation Model ◽  
Factors Analysis ◽  
Main Factors

This paper aims at the oil depot valve internal leakage quantitative inspection using acoustic emission. On the basis of giving the valve internal leakage quantitative model, the main factors which effected quantification of leakage rates are theoretical analyzed and the relative error estimation model is presented. The influence of main factors on the accuracy of leakage quantitative model and the correctness of the relative error estimation model are verified by experiments. Finally, research mentality on how to improve leakage quantitative model is proposed.

Research on Predicting the Stability of Partially Stabilized Zirconia Based on SVM

2010 ◽  
Vol 146-147 ◽  
pp. 460-465 ◽  
Author(s):  
Sheng Hui Guo ◽  
Dong Bo Li ◽  
Li Jun Liu ◽  
Jin Hui Peng ◽  
Li Bo Zhang ◽  
...  
Keyword(s):  
Relative Error ◽  
Influence Factors ◽  
Commercial Application ◽  
Support Vector ◽  
Stabilized Zirconia ◽  
Partially Stabilized Zirconia ◽  
Typical Data ◽  
Svm Model ◽  
Commercial Process ◽  
The Stability

The stability is one most important product performance index, which can directly determine the quality of the partially stabilized zirconia (PSZ), and the stability of PSZ is always fluctuating in the commercial process, so how to accurately, quickly and easily predict the stability of PSZ in the preparation process is very important. In the present paper, a new mathematical model to predict the stability of PSZ was proposed, based on statistical theory (SLT) and support vector machine (SVM) theory, which relates the stability of PSZ and the influence factors, such as the holding temperature, rising rate of temperature, holding time, decreasing rate of temperature and hardening temperature. Typical data collected from commercial process were collected for the training samples and test samples. Then testing and analyzing was done. The results showed that the max relative error was 1.80%, the least relative error was 0%, and the average relative error was 0.58%. It is accurate and reliable to predict the stability of PSZ by SVM model. Besides, multiple influence factors can be comprehensively considered in the SVM model, thus a new highly effective method for predicting the stability of PSZ is provided for commercial application.

Research on Optimal Index Set Based on Consequence-Reverse-Diffusion Method of Yellow River Downstream Embankment

2014 ◽  
Vol 955-959 ◽  
pp. 3020-3025
Author(s):  
Feng Feng ◽  
Hong Tao Jia ◽  
Xiao Ming Rong
Keyword(s):  
Index System ◽  
Influence Factor ◽  
Yellow River ◽  
Influence Factors ◽  
Safety Evaluation ◽  
Diffusion Method ◽  
The Yellow River ◽  
Index Set ◽  
Main Factors ◽  
River Embankment

Constructing a scientific, reasonable, all-encompassing, and representative-strong index system is an important premise and guarantee for the good embankment-safety-evaluation of Yellow River. Therefore, the embankment safety-influencing-factor identification has been raised based on consequence-reverse-diffusion method, which can be used to seek the main factors leading to accidents by reverse-thinking and reverse-diffusion way. The main factors which lead to the embankment accident shall be found out according to the accident form, then spreading to the specific influence-factor. As a result, the author has made a classification and extraction for the identified safety-influence-factors, and constructed the optional index-set and index-system for the Yellow River embankment-safety-evaluation after analyzing the content of the safety-influence-factors, which has laid a solid foundation for further embankment safety assessment for the Yellow River embankment construction.

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