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

    Source: Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 001::page 11005
    Author:
    Li, Yu
    ,
    Sun, Bo
    ,
    Wang, Zili
    ,
    Ren, Yi
    DOI: 10.1115/1.4034129
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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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      Ontology-Based Environmental Effectiveness Knowledge Application System for Optimal Reliability Design

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4236495
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    • Journal of Computing and Information Science in Engineering

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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian