Numerical Evaluation of the Tensional-Deformational State of the Blade in the Gamesa G52/850 Wind Turbine During the Action of Extreme Wind

Limas, Pedro; Trinchet, Carlos; Almaguer, Pavel; Vargas, Javier; Isaza, Lauren

doi:10.36478/jeasci.2019.3371.3377

Cited by 1 publication

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“…The great set of techniques and methodologies that allow exploring set of data of automatic way, with the objective to identify patterns, tendencies or rules, are grouped in a great well-known area like the mining of data. Within the context of the methods it dates-driven the mining from data offers to the tools adapted for the processes of detection and isolation of faults, which in their majority already have been evaluated and proven successfully in another type of applications [9] [11].…”

Section: Introductionmentioning

confidence: 99%

Recognition of Patterns of Failures through Elements of the Fuzzy Logic

Elio¹,

Roberto²,

Carlos³

et al. 2020

International Journal of Engineering Research and Technology

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Different methods for the recognition from patterns exist, in article appears the recognition of patterns through the use of fuzzy membership functions, elaborated for the case of study, and elements of the fuzzy logic. The shown procedure contains four steps that they initiate in the data collection, the fuzzyfication, the calculation of the coincidence probability and the desfuzzyfication step that defines the patterns of failures in the analyzed motor of internal combustion. It was possible to be verified that the variables Tf (temperature of the fuel), Pf (pressure of the fuel) and Pai (pressure of the air), are altered before the sprouting of the studied failures, modifying his values and indicating different symptoms from incipient failures and that the patterns of failures, for each one of the three mentioned variables, settle down between the values limits according to the characteristics of each variable and following the behavior described by the developed functions of property.

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Section: Introductionmentioning

confidence: 99%