YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Pipeline Systems Engineering and Practice
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Pipeline Systems Engineering and Practice
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Acceptance Sampling Plans for Pipeline Condition Assessment

    Source: Journal of Pipeline Systems Engineering and Practice:;2019:;Volume ( 010 ):;issue: 004
    Author:
    Myungjin Chae
    ,
    H. David Jeong
    DOI: 10.1061/(ASCE)PS.1949-1204.0000393
    Publisher: American Society of Civil Engineers
    Abstract: Pipeline condition data collection and assessment is the first step for strategic infrastructure asset management and planning. However, since condition data collection and assessment is a highly expensive and time-consuming process, comprehensive asset management often fails even before it starts. Many municipalities perform periodic closed-circuit television (CCTV) inspections as a preventive maintenance and management strategy. However, due to limited budgets, not all the pipelines are inspected periodically as initially planned and only some parts that are believed to have some problems are chosen to be inspected. Municipalities often hesitate to use sampling inspection because of possible risks of not assessing the pipe assets correctly that may end up as liability issues. This paper shows the calculations of the possible risks of sampling and the techniques to control those risks. Acceptance sampling with the rectifying inspection method was used, which is a method widely used in quality control in the manufacturing industry. First, pipelines were categorized based on age, material, and any other characteristics that were believed to be reliable criteria for categorizing pipe assets in similar conditions. Then randomly selected pipelines in each category were inspected. The amount of the selection was determined by the municipality’s budget situation. The acceptance sampling with rectifying inspection method showed the improvement of average outgoing quality (AOQ). By repairing the defects in a sample inspection, not only was the quality level statistically measured, but the overall quality level also improved. By differing the sample sizes and the acceptance rates, optimization between inspection cost and quality can be achieved. The sampling strategy proposed in this paper presents the optimal CCTV inspection sampling strategy for an accurate condition estimation and provides the basis for the asset management plan.
    • Download: (772.6Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Acceptance Sampling Plans for Pipeline Condition Assessment

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4259549
    Collections
    • Journal of Pipeline Systems Engineering and Practice

    Show full item record

    contributor authorMyungjin Chae
    contributor authorH. David Jeong
    date accessioned2019-09-18T10:37:40Z
    date available2019-09-18T10:37:40Z
    date issued2019
    identifier other%28ASCE%29PS.1949-1204.0000393.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259549
    description abstractPipeline condition data collection and assessment is the first step for strategic infrastructure asset management and planning. However, since condition data collection and assessment is a highly expensive and time-consuming process, comprehensive asset management often fails even before it starts. Many municipalities perform periodic closed-circuit television (CCTV) inspections as a preventive maintenance and management strategy. However, due to limited budgets, not all the pipelines are inspected periodically as initially planned and only some parts that are believed to have some problems are chosen to be inspected. Municipalities often hesitate to use sampling inspection because of possible risks of not assessing the pipe assets correctly that may end up as liability issues. This paper shows the calculations of the possible risks of sampling and the techniques to control those risks. Acceptance sampling with the rectifying inspection method was used, which is a method widely used in quality control in the manufacturing industry. First, pipelines were categorized based on age, material, and any other characteristics that were believed to be reliable criteria for categorizing pipe assets in similar conditions. Then randomly selected pipelines in each category were inspected. The amount of the selection was determined by the municipality’s budget situation. The acceptance sampling with rectifying inspection method showed the improvement of average outgoing quality (AOQ). By repairing the defects in a sample inspection, not only was the quality level statistically measured, but the overall quality level also improved. By differing the sample sizes and the acceptance rates, optimization between inspection cost and quality can be achieved. The sampling strategy proposed in this paper presents the optimal CCTV inspection sampling strategy for an accurate condition estimation and provides the basis for the asset management plan.
    publisherAmerican Society of Civil Engineers
    titleAcceptance Sampling Plans for Pipeline Condition Assessment
    typeJournal Paper
    journal volume10
    journal issue4
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/(ASCE)PS.1949-1204.0000393
    page04019024
    treeJournal of Pipeline Systems Engineering and Practice:;2019:;Volume ( 010 ):;issue: 004
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian