Institution
Westinghouse Electric
Company•Cranberry Township, Pennsylvania, United States•
About: Westinghouse Electric is a company organization based out in Cranberry Township, Pennsylvania, United States. It is known for research contribution in the topics: Brake & Signal. The organization has 27959 authors who have published 38036 publications receiving 523387 citations.
Topics: Brake, Signal, Circuit breaker, Turbine, Electromagnetic coil
Papers published on a yearly basis
Papers
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Los Alamos National Laboratory1, National Nuclear Data Center2, Oak Ridge National Laboratory3, Argonne National Laboratory4, Lawrence Livermore National Laboratory5, National Institute of Standards and Technology6, Rensselaer Polytechnic Institute7, Idaho National Laboratory8, Westinghouse Electric9, Atomic Energy of Canada Limited10, Nuclear Research and Consultancy Group11
TL;DR: The ENDF/B-VII.0 as discussed by the authors file contains data primarily for reactions with incident neutrons, protons, and photons on almost 400 isotopes, based on experimental data and theory predictions.
1,913 citations
TL;DR: Regression analysis provides the most comprehensive sensitivity measure and is commonly utilized to build response surfaces that approximate complex models.
Abstract: Mathematical models are utilized to approximate various highly complex engineering, physical, environmental, social, and economic phenomena. Model parameters exerting the most influence on model results are identified through a ‘sensitivity analysis’. A comprehensive review is presented of more than a dozen sensitivity analysis methods. This review is intended for those not intimately familiar with statistics or the techniques utilized for sensitivity analysis of computer models. The most fundamental of sensitivity techniques utilizes partial differentiation whereas the simplest approach requires varying parameter values one-at-a-time. Correlation analysis is used to determine relationships between independent and dependent variables. Regression analysis provides the most comprehensive sensitivity measure and is commonly utilized to build response surfaces that approximate complex models.
1,636 citations
15 Dec 1999-Materials Science and Engineering A-structural Materials Properties Microstructure and Processing
TL;DR: In this article, the authors present 10 less-obvious, but very important, reasons for nitinol's success, both past and future, including the quickly growing and technologically demanding stent applications.
Abstract: Superelastic nitinol is now a common and well-known engineering material in the medical industry. While the greater flexibility of the alloy drives many of the applications, there are actually a large number of lesser-known advantages of nitinol in medical devices. This paper reviews 10 of these less-obvious, but very important, reasons for nitinol’s success, both past and future. Several new medical applications will be used to exemplify these points, including the quickly growing and technologically demanding stent applications. Stents are particularly interesting in that they involve new and complex manufacturing techniques, present a demanding and interesting fatigue environment, and most interestingly, take advantage of the thermoelastic hysteresis of nitinol.
1,446 citations
TL;DR: In this paper, the polarization behavior of zirconia-yttria solid electrolyte specimens with platinum electrodes has been studied over a temperature range of 400° to 800°C and a wide range of oxygen partial pressures.
1,402 citations
TL;DR: In this paper, the materials and fabrication methods used for different cell components, and discusses the performance of cells fabricated using these materials; it also discusses materials and processing studies that are under investigation to reduce the cell cost.
1,340 citations
Authors
Showing all 27975 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Takeo Kanade | 147 | 799 | 103237 |
| Martin A. Green | 127 | 1069 | 76807 |
| Shree K. Nayar | 113 | 384 | 45139 |
| Dieter Bimberg | 97 | 1531 | 45944 |
| Keith E. Gubbins | 85 | 466 | 35909 |
| Peter K. Liaw | 84 | 1068 | 37916 |
| Katsushi Ikeuchi | 78 | 636 | 20622 |
| Mark R. Cutkosky | 77 | 393 | 20600 |
| M. S. Skolnick | 73 | 728 | 22112 |
| David D. Woods | 72 | 318 | 20825 |
| Martin A. Uman | 67 | 338 | 16882 |
| Michael Keidar | 67 | 566 | 14944 |
| Terry C. Hazen | 66 | 354 | 17330 |
| H. Harry Asada | 64 | 633 | 17358 |
| Michael T. Meyer | 59 | 225 | 26947 |