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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March 2017
Research-Article
Ontology-Based Environmental Effectiveness Knowledge Application System for Optimal Reliability Design
Yu Li,
Yu Li
School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: liyu822@buaa.edu.cn
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: liyu822@buaa.edu.cn
Search for other works by this author on:
Bo Sun,
Bo Sun
School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: sunbo@buaa.edu.cn
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: sunbo@buaa.edu.cn
Search for other works by this author on:
Zili Wang,
Zili Wang
School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: wzl@buaa.edu.cn
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: wzl@buaa.edu.cn
Search for other works by this author on:
Yi Ren
Yi Ren
School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: renyi@buaa.edu.cn
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: renyi@buaa.edu.cn
Search for other works by this author on:
Yu Li
School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: liyu822@buaa.edu.cn
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: liyu822@buaa.edu.cn
Bo Sun
School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: sunbo@buaa.edu.cn
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: sunbo@buaa.edu.cn
Zili Wang
School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: wzl@buaa.edu.cn
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: wzl@buaa.edu.cn
Yi Ren
School of Reliability and Systems Engineering, Beihang University,
No. 37 XueYuan Road,
Haidian,
Beijing 100191, China
e-mail: renyi@buaa.edu.cn
No. 37 XueYuan Road,
Haidian,
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. Mar 2017, 17(1): 011005 (8 pages)
Published Online: November 7, 2016
Article history
Received:
November 19, 2015
Revised:
July 6, 2016
Citation
Li, Y., Sun, B., Wang, Z., and Ren, Y. (November 7, 2016). "Ontology-Based Environmental Effectiveness Knowledge Application System for Optimal Reliability Design." ASME. J. Comput. Inf. Sci. Eng. March 2017; 17(1): 011005. https://doi.org/10.1115/1.4034129
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