The Architect Test Sample Selection Model and its Application Based on Genetic Algorithm

2012 ◽  
Vol 174-177 ◽  
pp. 2029-2035
Author(s):  
Qiang Li ◽  
Hui Min Li ◽  
Hai Lan Jiang ◽  
Feng Yuan
Keyword(s):  
Genetic Algorithm ◽  
Process Model ◽  
Sample Selection ◽  
Test Sample ◽  
Selection Model ◽  
Model Property ◽  
Sample Selection Model ◽  
Model Sample ◽  
Property Model ◽  
Selection Of

This paper introduces the researches and applications based on genetic algorithm in the sample selection of papers. We followed the steps of the work and separate the model of four sub models: the pre-process model, sample selection model, property model and reefed model. We consider form all aspect which may affects the decision of sample selection and solve them. Form the instance, the genetic algorithm we discussed can improve the reliability and efficiency of the national first degree architecture test on some degree.

Sample selection of prognostics validation test based on multi-stage Wiener process

2018 ◽  
Vol 233 (4) ◽  
pp. 605-614
Author(s):  
Zhiao Zhao ◽  
Yong Zhang ◽  
Guanjun Liu ◽  
Jing Qiu
Keyword(s):  
Wiener Process ◽  
Process Model ◽  
Failure Modes ◽  
Early Stage ◽  
Sample Selection ◽  
Degradation Process ◽  
Time Interval ◽  
Degradation Data ◽  
Multi Stage ◽  
Selection Of

Sample allocation and selection technology is of great significance in the test plan design of prognostics validation. Considering the existing researches, the importance of prognostics samples of different moments is not considered in the degradation process of a single failure. Normally, prognostics samples are generated under the same time interval mechanism. However, a prognostics system may have low prognostics accuracy because of the small quantity of failure degradation and measurement randomness in the early stage of a failure degradation process. Historical degradation data onto equipment failure modes are collected, and the degradation process model based on the multi-stage Wiener process is established. Based on the multi-stage Wiener process model, we choose four parameters to describe different degradation stages in a degradation process. According to four parameters, the sample selection weight of each degradation stage is calculated and the weight of each degradation stage is used to select prognostics samples. Taking a bearing wear fault of a helicopter transmission device as an example, its degradation process is established and sample selection weights are calculated. According to the sample selection weight of each degradation process, we accomplish the prognostics sample selection of the bearing wear fault. The results show that the prognostics sample selection method proposed in this article has good applicability.

scholarly journals “Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

Agribusiness ◽  
2020 ◽  
Vol 36 (2) ◽  
pp. 192-207
Author(s):  
Marius Michels ◽  
Wilm Fecke ◽  
Jan‐Henning Feil ◽  
Oliver Musshoff ◽  
Frederike Lülfs‐Baden ◽  
...  
Keyword(s):  
Sample Selection ◽  
Mobile Internet ◽  
Selection Model ◽  
Internet Adoption ◽  
Sample Selection Model
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