Risk Assessment Model of Automobile Defect Based on Gray Theory
Risk assessment of automobile defect is classifying safety related risk level of manufacturing or designing defect. To carry out equivalent study between defect risk and failure defect, a risk flow route of automobile defect is developed introducing ETA method. A SPN function for risk assessment is...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 320 |
---|---|
container_issue | |
container_start_page | 317 |
container_title | |
container_volume | 2 |
creator | Wang Yan Wang Yun-Song Zhang Jin-Huan |
description | Risk assessment of automobile defect is classifying safety related risk level of manufacturing or designing defect. To carry out equivalent study between defect risk and failure defect, a risk flow route of automobile defect is developed introducing ETA method. A SPN function for risk assessment is setup based on Characteristics of automobile defect risk, and 3D matrix graph is introduced to describe overall risk. According to the scattered and fluctuant characteristics of automobile defect data, a risk forecast method based on gray theory is discussed. A risk assessment model of automobile defect is built; forecast of risk possibility is based on failure data. The model is corrected by residual discrimination. It is found that on gathering actual failure data from after-sales service, the gray model has a favorable applicability for forecast of risk possibility. |
doi_str_mv | 10.1109/ICMTMA.2009.621 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5203437</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5203437</ieee_id><sourcerecordid>5203437</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-433bd58e0ba160b754373bc401ad08273c67abfffdbe7e089ae967f3e37d8b413</originalsourceid><addsrcrecordid>eNotjrFOwzAUAC1BJUrJzMDiH0h59ovz7AmFAqVSIyQU5spunkWgbVAchv49RTDdcjqdENcK5kqBu10t6qau5hrAzUutzkTmyAKVzqCxaM_FVCtDuSoIJ-LypFlXoNbmQmQpfQAAKmsd6am4e-3Sp6xS4pT2fBhl3be8k32U1ffY7_vQ7Vg-cOTtKO994lb2B7kc_FE279wPxysxiX6XOPvnTLw9PTaL53z9slwtqnXeKTJjXiCG1liG4FUJgUyBhGFbgPItWE24LcmHGGMbmPi069mVFJGRWhsKhTNx89ftmHnzNXR7Pxw3RgP-ln4AwhxLGA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Risk Assessment Model of Automobile Defect Based on Gray Theory</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Wang Yan ; Wang Yun-Song ; Zhang Jin-Huan</creator><creatorcontrib>Wang Yan ; Wang Yun-Song ; Zhang Jin-Huan</creatorcontrib><description>Risk assessment of automobile defect is classifying safety related risk level of manufacturing or designing defect. To carry out equivalent study between defect risk and failure defect, a risk flow route of automobile defect is developed introducing ETA method. A SPN function for risk assessment is setup based on Characteristics of automobile defect risk, and 3D matrix graph is introduced to describe overall risk. According to the scattered and fluctuant characteristics of automobile defect data, a risk forecast method based on gray theory is discussed. A risk assessment model of automobile defect is built; forecast of risk possibility is based on failure data. The model is corrected by residual discrimination. It is found that on gathering actual failure data from after-sales service, the gray model has a favorable applicability for forecast of risk possibility.</description><identifier>ISSN: 2157-1473</identifier><identifier>ISBN: 9780769535838</identifier><identifier>ISBN: 0769535836</identifier><identifier>DOI: 10.1109/ICMTMA.2009.621</identifier><identifier>LCCN: 2008943225</identifier><language>eng</language><publisher>IEEE</publisher><subject>applicability ; automobile ; Automobile manufacture ; Automotive engineering ; defect ; Government ; Injuries ; Predictive models ; Risk analysis ; risk assessment ; Risk management ; Road accidents ; Time of arrival estimation ; Vehicle safety</subject><ispartof>2009 International Conference on Measuring Technology and Mechatronics Automation, 2009, Vol.2, p.317-320</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5203437$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5203437$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wang Yan</creatorcontrib><creatorcontrib>Wang Yun-Song</creatorcontrib><creatorcontrib>Zhang Jin-Huan</creatorcontrib><title>Risk Assessment Model of Automobile Defect Based on Gray Theory</title><title>2009 International Conference on Measuring Technology and Mechatronics Automation</title><addtitle>ICMTMA</addtitle><description>Risk assessment of automobile defect is classifying safety related risk level of manufacturing or designing defect. To carry out equivalent study between defect risk and failure defect, a risk flow route of automobile defect is developed introducing ETA method. A SPN function for risk assessment is setup based on Characteristics of automobile defect risk, and 3D matrix graph is introduced to describe overall risk. According to the scattered and fluctuant characteristics of automobile defect data, a risk forecast method based on gray theory is discussed. A risk assessment model of automobile defect is built; forecast of risk possibility is based on failure data. The model is corrected by residual discrimination. It is found that on gathering actual failure data from after-sales service, the gray model has a favorable applicability for forecast of risk possibility.</description><subject>applicability</subject><subject>automobile</subject><subject>Automobile manufacture</subject><subject>Automotive engineering</subject><subject>defect</subject><subject>Government</subject><subject>Injuries</subject><subject>Predictive models</subject><subject>Risk analysis</subject><subject>risk assessment</subject><subject>Risk management</subject><subject>Road accidents</subject><subject>Time of arrival estimation</subject><subject>Vehicle safety</subject><issn>2157-1473</issn><isbn>9780769535838</isbn><isbn>0769535836</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjrFOwzAUAC1BJUrJzMDiH0h59ovz7AmFAqVSIyQU5spunkWgbVAchv49RTDdcjqdENcK5kqBu10t6qau5hrAzUutzkTmyAKVzqCxaM_FVCtDuSoIJ-LypFlXoNbmQmQpfQAAKmsd6am4e-3Sp6xS4pT2fBhl3be8k32U1ffY7_vQ7Vg-cOTtKO994lb2B7kc_FE279wPxysxiX6XOPvnTLw9PTaL53z9slwtqnXeKTJjXiCG1liG4FUJgUyBhGFbgPItWE24LcmHGGMbmPi069mVFJGRWhsKhTNx89ftmHnzNXR7Pxw3RgP-ln4AwhxLGA</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>Wang Yan</creator><creator>Wang Yun-Song</creator><creator>Zhang Jin-Huan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200904</creationdate><title>Risk Assessment Model of Automobile Defect Based on Gray Theory</title><author>Wang Yan ; Wang Yun-Song ; Zhang Jin-Huan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-433bd58e0ba160b754373bc401ad08273c67abfffdbe7e089ae967f3e37d8b413</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>applicability</topic><topic>automobile</topic><topic>Automobile manufacture</topic><topic>Automotive engineering</topic><topic>defect</topic><topic>Government</topic><topic>Injuries</topic><topic>Predictive models</topic><topic>Risk analysis</topic><topic>risk assessment</topic><topic>Risk management</topic><topic>Road accidents</topic><topic>Time of arrival estimation</topic><topic>Vehicle safety</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang Yan</creatorcontrib><creatorcontrib>Wang Yun-Song</creatorcontrib><creatorcontrib>Zhang Jin-Huan</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wang Yan</au><au>Wang Yun-Song</au><au>Zhang Jin-Huan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Risk Assessment Model of Automobile Defect Based on Gray Theory</atitle><btitle>2009 International Conference on Measuring Technology and Mechatronics Automation</btitle><stitle>ICMTMA</stitle><date>2009-04</date><risdate>2009</risdate><volume>2</volume><spage>317</spage><epage>320</epage><pages>317-320</pages><issn>2157-1473</issn><isbn>9780769535838</isbn><isbn>0769535836</isbn><abstract>Risk assessment of automobile defect is classifying safety related risk level of manufacturing or designing defect. To carry out equivalent study between defect risk and failure defect, a risk flow route of automobile defect is developed introducing ETA method. A SPN function for risk assessment is setup based on Characteristics of automobile defect risk, and 3D matrix graph is introduced to describe overall risk. According to the scattered and fluctuant characteristics of automobile defect data, a risk forecast method based on gray theory is discussed. A risk assessment model of automobile defect is built; forecast of risk possibility is based on failure data. The model is corrected by residual discrimination. It is found that on gathering actual failure data from after-sales service, the gray model has a favorable applicability for forecast of risk possibility.</abstract><pub>IEEE</pub><doi>10.1109/ICMTMA.2009.621</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2157-1473 |
ispartof | 2009 International Conference on Measuring Technology and Mechatronics Automation, 2009, Vol.2, p.317-320 |
issn | 2157-1473 |
language | eng |
recordid | cdi_ieee_primary_5203437 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | applicability automobile Automobile manufacture Automotive engineering defect Government Injuries Predictive models Risk analysis risk assessment Risk management Road accidents Time of arrival estimation Vehicle safety |
title | Risk Assessment Model of Automobile Defect Based on Gray Theory |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T16%3A12%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Risk%20Assessment%20Model%20of%20Automobile%20Defect%20Based%20on%20Gray%20Theory&rft.btitle=2009%20International%20Conference%20on%20Measuring%20Technology%20and%20Mechatronics%20Automation&rft.au=Wang%20Yan&rft.date=2009-04&rft.volume=2&rft.spage=317&rft.epage=320&rft.pages=317-320&rft.issn=2157-1473&rft.isbn=9780769535838&rft.isbn_list=0769535836&rft_id=info:doi/10.1109/ICMTMA.2009.621&rft_dat=%3Cieee_6IE%3E5203437%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5203437&rfr_iscdi=true |