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 language | English |
|---|---|
| Pages (from-to) | 259-265 |
| Number of pages | 7 |
| Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
| Volume | 31 |
| Issue number | 2 |
| State | Published - Apr 2013 |
Keywords
- Computer simulation, geometry
- Gradient methods
- Inner product
- Integrated importance measure (IIM)
- Parallel architectures
- Space applications
- Three dimensional
- Two dimensional
- Vectors
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