Representation method of integrated importance measure in gradient

Hongyan Dui, Shubin Si, Zhiqiang Cai, Shudong Sun

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Aim. The introduction of the full paper reviews a number of papers in the open literature and then proposes the representation method in the title, which is explained in sections 1 and 2. Section 1 briefs the system assumptions and the equation of integrated importance measure (IIM). The core of section 2 consists of: (1) we use the gradient method, which is given by eq. (4) to describe the IIM as in eq. (5); (2) we analyze the physical meaning of the geometry of IIM and the relationships between IIM and gradient as indicated in Theorem 1; (3) we discuss the characteristics of IIM in gradient for typical systems in Theorems 2 and 3 and their respective Corollaries 1 and 2; (4) we get that IIM can be determined by the inner product of gradient and vector. Section 3 presents the numerical examples of series and parallel systems. Computer simulation results, presented in Figs. 1 through 6, and their analysis verify the physical meaning of the geometry of IIM in two dimensional space and three dimensional space.

Original languageEnglish
Pages (from-to)259-265
Number of pages7
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume31
Issue number2
StatePublished - Apr 2013

Keywords

  • Computer simulation, geometry
  • Gradient methods
  • Inner product
  • Integrated importance measure (IIM)
  • Parallel architectures
  • Space applications
  • Three dimensional
  • Two dimensional
  • Vectors

Fingerprint

Dive into the research topics of 'Representation method of integrated importance measure in gradient'. Together they form a unique fingerprint.

Cite this