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Institution

General Electric

CompanyBoston, Massachusetts, United States
About: General Electric is a company organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Turbine & Rotor (electric). The organization has 76365 authors who have published 110557 publications receiving 1885108 citations. The organization is also known as: General Electric Company & GE.
Topics: Turbine, Rotor (electric), Signal, Combustor, Coating


Papers
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Journal ArticleDOI
Carl Zweben1
TL;DR: Composite tensile-failure modes, failure load prediction, experimental data and statistical analysis of stress concentration effects are discussed in this article, where failure load and stress concentration effect are discussed.
Abstract: Composite tensile-failure modes, discussing failure load prediction, experimental data and statistical analysis of stress concentration effects

294 citations

Patent
23 Aug 2000
TL;DR: In this article, a diagnosis and repair recommendation system for a railroad locomotive is disclosed, which uses generalized repair recommendations and instantiates them to a specific repair process for a unique road number locomotive.
Abstract: A diagnosis and repair recommendation system for a railroad locomotive is disclosed. The system uses generalized repair recommendations and instantiates them to a specific repair process for a unique road number locomotive. In addition to repair steps to be executed by the technician, the method and system remotely provides supporting documentation specifically tailored for each step in the repair process. As the repair is being conducted, feedback information is entered by the technician. The repair recommendations and the supporting documents are available to the technician via a remote unit, thereby allowing the technician to access the repair steps and supporting documentation while the repair is in progress.

294 citations

Journal ArticleDOI
Bill Curtis1, Sylvia B. Sheppard1, Phil Milliman1, M. A. Borst1, Tom Love1 
TL;DR: Three software complexity measures (Halstead's E, McCabe's u(G), and the length as measured by number of statements) were compared to programmer performance on two software maintenance tasks and correlated with both the accuracy of the modification and the time to completion.
Abstract: Three software complexity measures (Halstead's E, McCabe's u(G), and the length as measured by number of statements) were compared to programmer performance on two software maintenance tasks. In an experiment on understanding, length and u(G) correlated with the percent of statements correctly recalled. In an experiment on modification, most significant correlations were obtained with metrics computed on modified rather than unmodified code. All three metrics correlated with both the accuracy of the modification and the time to completion. Relationships in both experiments occurred primarily in unstructured rather than structured code, and in code with no comments. The metrics were also most predictive of performance for less experienced programmers. Thus, these metrics appear to assess psychological complexity primarily where programming practices do not provide assistance in understanding the code.

294 citations

Journal ArticleDOI
TL;DR: In this paper, the authors combined the use of a linear (dc) power flow transmission model and a transportation model (also known as a trans-shipment model) for long range transmission planning, where new load growth, new generation sites and perhaps a new voltage level are to be considered.
Abstract: In long range transmission planning, where new load growth, new generation sites and perhaps a new voltage level are to be considered, a computer aided method of visualizing new circuits in a network context is needed. The new method presented meets this need by the combined use of a linear (dc) power flow transmission model and a transportation model (also known as a trans-shipment model). The dc transmission model is solved for the facilities network by obeying both of Kirchhoff's laws, flow conservation at each bus and voltage conservation around each loop. The transportation model is solved for the overloads by obeying only the bus flow conservation law while minimizing a cost objective function.

293 citations

Journal ArticleDOI
TL;DR: In this article, a simple beam line is suggested which would allow a substantial increase in low energy X-ray flux (measurements down to Al and Si) with the sample and detector in a He atmosphere.
Abstract: The problem of absorption of soft X-rays by thick Be windows in hard X-ray beam lines is well known. Although the signal at 2.4 keV was reduced by ∼ 103 we have routinely measured the absorption spectra of S (2472 eV) and elements at higher energies including Cl, Ar and K. These spectra were obtained on hard X-ray beam lines at Stanford Synchrotron Radiation Laboratory (SSRL) with Si(111) monochromator crystals and a fluorescent ion chamber detector [1]. Higher energy harmonics were minimized by detuning and the end station was enclosed in a helium bag to prevent absorption by air. Although the diminished X-ray flux and decreasing fluorescent yield were serious negative factors at these low X-ray energies the spectra from thick samples were of excellent quality with sufficient sensitivity to characterize 1% S in coal. Representative spectra are shown comparing data from focused and unfocused beam lines and with S data from JUMBO [2]. Comparison of Ar and KCl data to excellent data found in the older literature [3–5] allow a confirmation of the resolution function (energy bandpass) of the monochromator. A simple new beam line is suggested which would allow a substantial increase in low energy X-ray flux (measurements down to Al and Si) with the sample and detector in a He atmosphere.

291 citations


Authors

Showing all 76370 results

NameH-indexPapersCitations
Cornelia M. van Duijn1831030146009
Krzysztof Matyjaszewski1691431128585
Gary H. Glover12948677009
Mark E. Thompson12852777399
Ron Kikinis12668463398
James E. Rothman12535860655
Bo Wang119290584863
Wei Lu111197361911
Harold J. Vinegar10837930430
Peng Wang108167254529
Hans-Joachim Freund10696246693
Carl R. Woese10527256448
William J. Koros10455038676
Thomas A. Lipo10368243110
Gene H. Golub10034257361
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202216
2021415
20201,027
20191,418
20181,862