Study on Generalized Evaluation of Product Quality Based on Integrated Neural Networks

Author

Luo, Yuegang ; Bin Wu ; Li, Xiaopeng ; Wen, Bangchun

Author_Institution

Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China

Volume

3

fYear

2011

fDate

6-7 Jan. 2011

Firstpage

470

Lastpage

473

Abstract

Multi-layer integrated neural networks evaluation model of synthesis quality of the products is founded based on the information fusion theory. Quality of the products are synthetically evaluated using this model, moreover design method is also evaluated and verified, judgment of product performance and grade, as well as performance difference of the products in structural performance, service behavior and processing property. Scientific decision basis for evaluating and improving overall quality of the products is offered.

Keywords

neural nets; production engineering computing; quality management; sensor fusion; design method; generalized evaluation; information fusion theory; multilayer integrated neural network evaluation model; product quality; scientific decision; service behavior; structural performance; Artificial neural networks; Decision making; Economics; Materials; Mechanical products; Reliability; generalized evaluation; integrated neural networks; products; synthesis quality;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on

Conference_Location

Shangshai

Print_ISBN

978-1-4244-9010-3

Type

conf

DOI

10.1109/ICMTMA.2011.688

Filename

5721525