RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      Risk Analysis Model of Automobile Defect Based on Weibull

      한글로보기

      https://www.riss.kr/link?id=A101827848

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      Currently, from the statistical analysis of accidents at home and abroad, the number of automobile defects and the resulting automobile accidents are very large. Obviously, the automobile defects have become one of the main factors affecting traffic safety, and risk assessment as an automobile key technical defect of risk management, the elimination of defects and reduce automobile accidents are of great significance. Through statistical study of automobile defect recall, this paper analyzes the automobile defects and its risk characteristics and the event tree analysis (ETA) method was introduced to determine the risk flow route of automobile defects. Based on thousands of automobile breakdown cases for risk probability forecast, this paper proposes a three-dimensional matrix risk assessment model of automobile defect. According to the dispersibility of automobile, a risk forecast method based on the Weibull distribution is established. The results indicate that on gathering actual failure data from after-sales service, the Weibull distribution model has a favorable applicability for forecasting risk possibility, and then apply it to auto defect in three-dimensional matrix model so as to get the overall risk level of defect automobile.
      번역하기

      Currently, from the statistical analysis of accidents at home and abroad, the number of automobile defects and the resulting automobile accidents are very large. Obviously, the automobile defects have become one of the main factors affecting traffic s...

      Currently, from the statistical analysis of accidents at home and abroad, the number of automobile defects and the resulting automobile accidents are very large. Obviously, the automobile defects have become one of the main factors affecting traffic safety, and risk assessment as an automobile key technical defect of risk management, the elimination of defects and reduce automobile accidents are of great significance. Through statistical study of automobile defect recall, this paper analyzes the automobile defects and its risk characteristics and the event tree analysis (ETA) method was introduced to determine the risk flow route of automobile defects. Based on thousands of automobile breakdown cases for risk probability forecast, this paper proposes a three-dimensional matrix risk assessment model of automobile defect. According to the dispersibility of automobile, a risk forecast method based on the Weibull distribution is established. The results indicate that on gathering actual failure data from after-sales service, the Weibull distribution model has a favorable applicability for forecasting risk possibility, and then apply it to auto defect in three-dimensional matrix model so as to get the overall risk level of defect automobile.

      더보기

      목차 (Table of Contents)

      • Abstract
      • 1. Introduction
      • 2. Automobile Defect and Risk Characteristics
      • 2.1 Automobile Defect
      • 2.2 Risk Characteristics
      • Abstract
      • 1. Introduction
      • 2. Automobile Defect and Risk Characteristics
      • 2.1 Automobile Defect
      • 2.2 Risk Characteristics
      • 3. Automobile Defect Risk Transfer
      • 3.1 Risk Transfer Process
      • 3.2 Risk Transmission Path
      • 3.3 Example Analysis
      • 4. Three-Dimensional Matrix Model of Automobile Defect Risk
      • 4.1 The Number of Defects Introduced Parameters
      • 4.2 Dimensional Matrix Model
      • 5. Weibull Distribution Model
      • 5.1 Establish Weibull Distribution
      • 5.2 Determine Weibull Distribution Parameters
      • 6. An Example
      • 6.1 Situation Of Defect
      • 6.2 Model Prediction
      • 6.3 Result Analysis
      • 6.4 Calculate the Overall Risk
      • 7. Conclusions
      • References
      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼