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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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Proceedings ArticleDOI
28 Sep 1991
TL;DR: In this paper, a family of nonintrusive methods for estimating the shaft angle of a switched reluctance machine (SRM) is presented. But they do not use a shaft position sensor and instead rely on the machine's inherent flux/current magnetic characteristics to infer rotor position.
Abstract: A family of nonintrusive methods is presented for estimating the shaft angle of a switched reluctance machine. Such methods can be utilized for commutation control of the SRM (switched reluctance machine) thereby eliminating the requirement for a shaft position sensor. These methods rely on the machine's inherent flux/current magnetic characteristics to infer rotor position from measurements of stator flux-linkage and current during normal phase excitation. Position estimation schemes are presented for SRMs in which both single and multiple simultaneous phases are excited. Also presented is a simulated sensing performance using measured SRM data processed according to the proposed position lumped-parameter estimation scheme. >

259 citations

Journal ArticleDOI
TL;DR: According to current U.S. Environmental Protection Agency standard evaluation procedures, bisphenol A was moderately to slightly toxic to the fish and invertebrates tested, with LC50 or EC50 values of from 1.1 to 10 mg/L.
Abstract: The Society of the Plastics Industry, Inc., ad hoc Bisphenol A Task Group determined that freshwater and saltwater environmental effects testing on bisphenol A should be conducted. This decision was based upon the nation's high production capacity for bisphenol A, which is manufactured at many sites, its potential for entering the environment in substantial quantities and the general lack of relevant ecological effects data. The freshwater test results were as follows: the 96-h EC50 algal toxicity to Selenastrum capricornutum was 2.7 mg/L based on cell count, and 3.1 mg/L based on cell volume; the 48-h EC50 to the invertebrate Daphnia magna was 10 (9.2–11) mg/L; and the 96-h LC50s to the fathead minnow, Pimephales promelas, was 4.7 (4.0–5.5) mg/L in a static test and 4.6 (3.6 to 5.4) mg/L in a flow-through test. The saltwater test results were as follows: the 96-h EC50 algal toxicity to the diatom Skeletonema costatum was 1.0 mg/L based on cell count and relative fluorescence, and 1.8 mg/L based on chlorophyll a content; the 96-h LC50 to the mysid Mysidopsis bahia was 1.1 (0.92 to 1.2) mg/L; and the 96-h LC50 to the Atlantic silverside, Menidia menidia, was 9.4 (8.3 to 11) mg/L. According to current U.S. Environmental Protection Agency standard evaluation procedures, bisphenol A was moderately to slightly toxic to the fish and invertebrates tested, with LC50 or EC50 values of from 1.1 to 10 mg/L. These data did not trigger freshwater or saltwater chronic tests. The acute toxicity data together with the fact that bisphenol A rapidly biodegrades in surface waters indicate a low potential for chronic exposure or toxicity.

258 citations

Journal ArticleDOI
TL;DR: In this article, the authors present the results of the irradiation, characterization and irradiation assisted stress corrosion cracking (IASCC) behavior of proton- and neutron-irradiated samples of 304SS and 316SS from the same heats.

257 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present an overview of the current state of computational materials prediction, synthesis and characterization approaches, materials design needs for various technologies, and future challenges and opportunities that must be addressed.
Abstract: Advances in renewable and sustainable energy technologies critically depend on our ability to design and realize materials with optimal properties. Materials discovery and design efforts ideally involve close coupling between materials prediction, synthesis and characterization. The increased use of computational tools, the generation of materials databases, and advances in experimental methods have substantially accelerated these activities. It is therefore an opportune time to consider future prospects for materials by design approaches. The purpose of this Roadmap is to present an overview of the current state of computational materials prediction, synthesis and characterization approaches, materials design needs for various technologies, and future challenges and opportunities that must be addressed. The various perspectives cover topics on computational techniques, validation, materials databases, materials informatics, high-throughput combinatorial methods, advanced characterization approaches, and materials design issues in thermoelectrics, photovoltaics, solid state lighting, catalysts, batteries, metal alloys, complex oxides and transparent conducting materials. It is our hope that this Roadmap will guide researchers and funding agencies in identifying new prospects for materials design.

257 citations

Patent
11 Aug 1924
TL;DR: In this paper, the present invention relates to elastic fluid turbines, more specifically to turbine arrangements from which elastic fluid is tapped or extracted from the last stages of the turbine, that is, ahead of the last bucket wheel as regards the direction of flow through the turbine.
Abstract: The present invention relates to elastic fluid turbines, more specifically to turbine arrangements from which elastic fluid is tapped or extracted from the last stages of the turbine, that is, ahead of the last bucket wheel as regards the direction of flow through the turbine. Aside from arrangements...

257 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