Research Papers

Ontology-Based Environmental Effectiveness Knowledge Application System for Optimal Reliability Design

[+] Author and Article Information
Yu Li

School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Beijing 100191, China
e-mail: liyu822@buaa.edu.cn

Bo Sun

School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Beijing 100191, China
e-mail: sunbo@buaa.edu.cn

Zili Wang

School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Beijing 100191, China
e-mail: wzl@buaa.edu.cn

Yi Ren

School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Beijing 100191, China
e-mail: renyi@buaa.edu.cn

1Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received November 19, 2015; final manuscript received July 6, 2016; published online November 7, 2016. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 17(1), 011005 (Nov 07, 2016) (8 pages) Paper No: JCISE-15-1375; doi: 10.1115/1.4034129 History: Received November 19, 2015; Revised July 06, 2016

Environmental effectiveness refers to the influence and harm on products and materials resulting from the effects of various environmental factors. In their actual usage in a complex environment, products are put forward to address a series of urgent engineering problems caused by environmental effectiveness. However, environmental effectiveness is not extensively studied, and it is not sufficiently considered in the process of product reliability design and analysis. To solve these issues, we apply an ontology and rule reasoning method to design an ontology-based environmental effectiveness knowledge application system. The system comprises four layers: ontology, reasoning, data storage, and knowledge application. With the use of this system, specific measures for possible product failures caused by the environment can be deduced on the basis of the existing environment and failure data. This system can satisfy the requirements for extracting useful environmental effectiveness knowledge from large data to assist reliability designers in realizing complete reliability designs. A semi-intelligent analysis for environmental effectiveness can be applied to reliability analysis and design works. Finally, a case study of a rubber seal for environment protection design is presented to illustrate the applications of the system.

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Grahic Jump Location
Fig. 2

Ontological model of environmental effectiveness

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Fig. 1

System architecture

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Fig. 3

Using Protégé to construct ontology

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Fig. 4

B/S three-tier architecture

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Fig. 5

Knowledge navigation process



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