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contributor authorLi, Yu
contributor authorSun, Bo
contributor authorWang, Zili
contributor authorRen, Yi
date accessioned2017-11-25T07:20:30Z
date available2017-11-25T07:20:30Z
date copyright2016/7/11
date issued2017
identifier issn1530-9827
identifier otherjcise_017_01_011005.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236495
description abstractEnvironmental 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleOntology-Based Environmental Effectiveness Knowledge Application System for Optimal Reliability Design
typeJournal Paper
journal volume17
journal issue1
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4034129
journal fristpage11005
journal lastpage011005-8
treeJournal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 001
contenttypeFulltext


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