An approximation method for failure rate estimation considering changes in the number of equipment

被引：0
|
作者：
Funakoshi, Hiroyuki [1 ]
机构：
[1] NTT Adv Technol Corp, 1-19-18 Nakacho, Musashino, Tokyo 1800006, Japan
来源：
IEICE COMMUNICATIONS EXPRESS | 2022年
关键词：
reliability; failure rate; smoothing spline;
D O I：
10.1587/comex.2022XBL0096
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A failure rate estimation method is proposed herein considering changes in the number of equipment. Failure rate is an important factor for evaluating the operational reliability of a telecommunication network; however, it requires calculation of the first-order derivative of the cumulative failure and number of equipment. The proposed failure rate approximation considers changes in the number of equipment without requiring derivative calculations. The proposed method was verified using actual failure data / number of equipment, and the results confirm that the failure rate can be evaluated quickly and accurately using the proposed method.
引用
收藏
页数：6
相关论文
共 50 条
  • [31] Extraction of Time-varying Failure Rates on power distribution system equipment considering failure modes and regional effects
    Chu, C. M.
    Moon, J. F.
    Lee, H. T.
    Kim, J. C.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2010, 32 (06) : 721 - 727
  • [32] Failure rate and mean residual life with trend changes
    Guess, F
    Nam, KH
    Park, DH
    ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, 1998, 15 (02) : 239 - 244
  • [33] Time-varying failure rate extraction in electric power distribution equipment
    Moon, Jong-Fil
    Kim, Jea-Chul
    Lee, Hee-Tae
    Lee, Sang-Seung
    Yoon, Yong Tae
    Song, Kyung-Bin
    2006 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, VOLS 1 AND 2, 2006, : 554 - 559
  • [34] Fatigue Analysis and Estimation of the Number of Exposure Cycles until the Failure of the Sensitive Element of a Micromechanical Capacitive Accelerometer
    Ye Ko Ko Aung
    Simonov B.M.
    Timoshenkov S.P.
    Russian Microelectronics, 2023, 52 (07) : 690 - 693
  • [35] Mixture Failure Rate: A Study Based on Cross-entropy and MCMC Method
    Tien Thanh Thach
    Bris, Radim
    Coolen, Frank P. A.
    2017 INTERNATIONAL CONFERENCE ON INFORMATION AND DIGITAL TECHNOLOGIES (IDT), 2017, : 373 - 382
  • [36] Failure rate prediction of equipment: can Weibull distribution be applied to automated hematology analyzers?
    Verma, Alekh
    Narula, Aastha
    Katyal, Akshi
    Yadav, Shakti Kumar
    Anand, Priyanka
    Jahan, Aarzoo
    Pruthi, Sonam Kumar
    Sarin, Namrata
    Gupta, Ruchika
    Singh, Sompal
    CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 2018, 56 (12) : 2067 - 2071
  • [37] A Hierarchical Neural Hybrid Method for Failure Probability Estimation
    Li, Ke
    Tang, Kejun
    Li, Jinglai
    Wu, Tianfan
    Liao, Qifeng
    IEEE ACCESS, 2019, 7 : 112087 - 112096
  • [38] A simple estimation method of network reliability with failure scale
    Funakoshi, H
    Watanabe, H
    Yoshino, H
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART I-COMMUNICATIONS, 2006, 89 (10): : 13 - 23
  • [39] Estimation of Failure Rate in Water Distribution Network Using Fuzzy Clustering and LS-SVM Methods
    Aydogdu, Mahmut
    Firat, Mahmut
    WATER RESOURCES MANAGEMENT, 2015, 29 (05) : 1575 - 1590
  • [40] Reliability Simulation Method of Substations Considering Operating Conditions and Failure Types
    Zhang, Zhuhui
    Duan, Dongli
    INTERNATIONAL CONFERENCE ON ELECTRICAL AND CONTROL ENGINEERING (ICECE 2015), 2015, : 275 - 281
12345