Research of Prediction Model of Operating Condition of Loom

Ya Bin Fan; Jie Zhu; Jian Wei Song; Wen Qing Zhang; Xu Ning Liu

doi:10.4028/www.scientific.net/AMM.541-542.1523

Paper Titles

Implementation of the Dynamic Tension Load of Cell Membrane and its Stress Analysis
p.1497

Modeling and Analysis of the Manufacturers Inventory in Closed-Loop Supply Chain
p.1507

Research on Reliability Analysis Method of Industrial Control System Based on Markov Process
p.1513

Robust Design – A Case Study in a Research and Development Company
p.1518

Research of Prediction Model of Operating Condition of Loom
p.1523

Research on the Application of EPC Encoding Technology for Plastic Windows Manufacturing
p.1527

Manufacturing Technology Impact on Environmental Factors and Manufacturing Performance
p.1532

Using the Modified Regression Analysis to Estimate Industrial Competitiveness – The Case of Banks in Tanzania
p.1537

Enhancing Ceramic Product Value through Appropriate Production Techniques
p.1540

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 541-542Research of Prediction Model of Operating...

Research of Prediction Model of Operating Condition of Loom

Abstract:

In order to carry out effective management on the operation of loom, a new approach is proposed to predict the operating condition of the loom. Firstly, the mathematical basis of Bayesian network is made, so a kind of abbreviated forecasting formula is proposed. Secondly, Bayesian model is made to predict the operating condition of the loom, and the related parameters of the model are estimated by processing real time data in the process of loom production. The practice has shown that the Bayesian prediction model has good results, and Bayesian network is more fit for the operating condition of the loom, which is of great value to judge the operating condition of the loom.

You might also be interested in these eBooks

Engineering and Manufacturing Technologies

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 541-542)

Pages:

1523-1526

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.541-542.1523

Citation:

Cite this paper

Online since:

March 2014

Authors:

Ya Bin Fan, Jie Zhu, Jian Wei Song*, Wen Qing Zhang, Xu Ning Liu

Keywords:

Bayesian, Operation, Prediction

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Jiahuan Jun. The Application of Bayesian Method on Construction Project. Application of Astatistics and Management[J], 2005, 24(3): 10-14.

Google Scholar

[2] Fanhong Dong, Rockcts, Ding Li. Bayesian Dynamic Model Based on Performance Prediction for a Certain Device [J]. Electronics Optics & Control. 2006, 13 (1): 70-72.

Google Scholar

[3] AJosang. A Logic for Uncertain Probabilities[J]. Fuzziness and Knowledge Based on Systems, 2001, 9 (3): 191-213.

Google Scholar

[4] Tao Li, Guo Chengxia. Research of Security Detection Based on Bayesian Classifiers in Ubiquitous Computing[J]. Application Research of Computers, 2006, (3): 128-130.

Google Scholar

[5] Martz HF, Waller FA, Fickas ET. Bayesian Reliability Analysis of Series Systems of Binomial Subsystems and Components[J]. Technometrics, 1998, 30(2): 143-154.

DOI: 10.1080/00401706.1988.10488361

Google Scholar

[6] LiuYihui, Wei Zhenjun. Private-Preserving Naive Bayesian Classification[J]. Journal of Information Engineering University, 2003. 4 (1) : 86-89.

Google Scholar