Reliability of modular systems with automatic failure diagnosis, (Zuverlaessigkeit modularer Systeme mit automatischer Fehlerdiagnose)

被引:0
|
作者
LAMPE B
机构
来源
| 1600年 / 13期
关键词
COMPUTERS; DIGITAL; Programming;
D O I
暂无
中图分类号
学科分类号
摘要
The reliability of a system with a complex modular and redundant structure depends on many different factors, especially if failures within the system are to a certain extent to be diagnosed automatically. The influence of these factors is not clearly visible without detailed analysis. This paper describes a method of calculating the reliability of a system taking into account its structure and the reliability data of its modules, i. e. , failure rate, time necessary for automatic and for manual diagnonis, percentageof failures which are diagnosable automatically and mean repair time. A computer program based on this method enables limited resources to be used as efficiently as possible to increase the reliability of a system.
引用
收藏
相关论文
共 7 条
  • [1] Intelligent Systems for Improved Reliability and Failure Diagnosis in Distribution Systems
    Russell, B. Don
    Benner, Carl L.
    IEEE TRANSACTIONS ON SMART GRID, 2010, 1 (01) : 48 - 56
  • [2] Least-cost failure diagnosis in uncertain reliability systems
    Cox, LA
    Chiu, SY
    Sun, XR
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 1996, 54 (2-3) : 203 - 216
  • [3] Automatic Failure Diagnosis for Wireless LAN Systems Based on Distribution of Responses From STAs
    Fujita, Hiroshi
    Nakayama, Takayoshi
    Wen, Yun
    Kimura, Dai
    2016 EIGHTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN), 2016, : 796 - 800
  • [4] Automatic Failure Diagnosis Support in Distributed Large-Scale Software Systems based on Timing Behavior Anomaly Correlation
    Marwede, Nina
    Rohr, Matthias
    van Hoorn, Andre
    Hasselbring, Wilhelm
    13TH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING: CSMR 2009, PROCEEDINGS, 2009, : 47 - +
  • [5] Reliability-aware failure recovery for cloud computing based automatic train supervision systems in urban rail transit using deep reinforcement learning
    Zhu, Li
    Zhuang, Qingheng
    Jiang, Hailin
    Liang, Hao
    Gao, Xinjun
    Wang, Wei
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2023, 12 (01):
  • [6] Reliability-aware failure recovery for cloud computing based automatic train supervision systems in urban rail transit using deep reinforcement learning
    Li Zhu
    Qingheng Zhuang
    Hailin Jiang
    Hao Liang
    Xinjun Gao
    Wei Wang
    Journal of Cloud Computing, 12
  • [7] Photovoltaic Systems Reliability Improvement by Real-Time FPGA-Based Switch Failure Diagnosis and Fault-Tolerant DC-DC Converter
    Jamshidpour, Ehsan
    Poure, Philippe
    Saadate, Shahrokh
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (11) : 7247 - 7255