Maximum Environmental Electric Field Using Extreme Value Theory

被引:0
|
作者
Audone, Bruno [1 ]
Colombo, Roberto [2 ]
机构
[1] EMC Consultant, Turin, Italy
[2] IMQ SpA, Milan, Italy
关键词
extreme value; environmental field;
D O I
暂无
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
Extreme Value Theory (EVT) can be adopted successfully to process the data of EMC test results when one wants to determine the maximum electric field generated in the environment where the equipment under test (EUT) is going to be installed. Two methods are illustrated: the peak over threshold (POT) method and the block maxima (BM) method. These methods, which are widel used in financial analysis studies, are applicable to both actual tests and simulations.
引用
收藏
页码:100 / 105
页数:6
相关论文
共 50 条
  • [41] EXTREME VALUE PREDICTION OF MAXIMUM PITS ON PIPELINES
    HAWN, DE
    MATERIALS PERFORMANCE, 1977, 16 (03) : 29 - 32
  • [42] On Optimization and Extreme Value Theory
    Jürg Hüsler
    Pedro Cruz
    Andreia Hall
    Carlos M. Fonseca
    Methodology And Computing In Applied Probability, 2003, 5 : 183 - 195
  • [43] INEQUALITIES IN EXTREME VALUE THEORY
    GALAMBOS, J
    ADVANCES IN APPLIED PROBABILITY, 1988, 20 (01) : 4 - 4
  • [44] DEPENDENT EXTREME VALUE THEORY
    LEADBETTER, MR
    ADVANCES IN APPLIED PROBABILITY, 1979, 11 (02) : 266 - 266
  • [45] Predicting maximum depth of corrosion using extreme value analysis and Bayesian inference
    Kasai, Naoya
    Mori, Shunsuke
    Tamura, Koichi
    Sekine, Kazuyoshi
    Tsuchida, Tomohiko
    Serizawa, Yukitaka
    INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2016, 146 : 129 - 134
  • [46] A bayesian analysis of the annual maximum temperature using generalized extreme value distribution
    Hassen, Cheraitia
    MAUSAM, 2021, 72 (03): : 607 - 618
  • [47] On optimization and extreme value theory
    Hüsler, J
    Cruz, P
    Hall, A
    Fonseca, CM
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2003, 5 (02) : 183 - 195
  • [48] Red Tide Frequency Analysis Using the Extreme Value Theory
    谢中华
    王洪礼
    史道基
    孙景
    MarineScienceBulletin, 2005, (02) : 82 - 87
  • [49] Independent test assessment using the extreme value distribution theory
    Marcio Almeida
    Lucy Blondell
    Juan M. Peralta
    Jack W. Kent
    Goo Jun
    Tanya M. Teslovich
    Christian Fuchsberger
    Andrew R. Wood
    Alisa K. Manning
    Timothy M. Frayling
    Pablo E. Cingolani
    Robert Sladek
    Thomas D. Dyer
    Goncalo Abecasis
    Ravindranath Duggirala
    John Blangero
    BMC Proceedings, 10 (Suppl 7)
  • [50] Research on hardware fault distribution using extreme value theory
    Zuo, D. (zuodc@hit.edu.cn), 1600, Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States (10):