Results 241 to 250 of about 244,731 (271)

Presentación

Revista Iberoamericana de Automática e Informática Industrial RIAI
José Manuel Andújar
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A universal of speech timing: Intonation units form low-frequency rhythms. [PDF]

Proc Natl Acad Sci U S A
Inbar M, Grossman E, Landau AN.
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Nota de Redacción

Revista Iberoamericana de Automática e Informática Industrial RIAI
Pedro Albertos, Manuel Berenguel, Matilde Santos, José Luis Calvo Rolle   +3 more
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Increased expression of ATase1/NAT8B or ATase2/NAT8 in the mouse results in an autistic-like phenotype with altered dendritic branching and spine formation. [PDF]

Mol Psychiatry
Kalimuthu B, Lu H, Steenhagen A, Dong Q, Gray M, Rigby MJ, Endresen A, Chang Q, Li L, Puglielli L.   +9 more
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Mechanization in Industry [PDF]

Harry Jerome
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Products, processes and incomes: Cotton clothing in India. [PDF]

James, M.J.
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SEE Trade and Institutions: A Case Study on Bulgaria and the Region [PDF]

Krassen Stanchev, Martin Dimitrov
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The Automatic Generation of a Mathematical Model for Machinery Systems

Journal of Engineering for Industry, 1973
This paper presents a detailed explanation of a technique for automatically generating a mathematical model for machinery systems. The process starts from a relatively small amount of input data and develops the information required to model a mechanical system with Lagrange’s equation.
D. A. Smith, M. A. Chace, A. C. Rubens
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Automatic generation method of optimum symptom parameters for condition diagnosis of plant machinery by genetic algorithms

Proceedings First International Symposium on Environmentally Conscious Design and Inverse Manufacturing, 1999
When using computers for the automatic condition diagnosis of plant machinery, symptom parameters (SP) extracted from some signals are indispensable. Currently, however there is no acceptable method for attracting the optimum SP. In order to overcome this difficulty and ensure highly accurate condition diagnosis, a new method called the "automatic ...
P. Chen, T. Toyota
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Extraction of feature spectra by instantaneous power spectrum and automatic generation of symptom parameters by GP for diagnosis of machinery in unsteady operating condition

2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies and Industrial Opportunities (Cat. No.00CH37141), 2002
This paper proposes a failure diagnosis method for plant machinery in unsteady operating conditions using the instantaneous power spectrum (IPS) and genetic programming (GP). The IPS is used to extract the feature spectra of each machine state from the measured vibration signal for distinguishing failures by the relative crossing information (RCI ...
M. Taniguchi, null Peng Chen, T. Toyota
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