619 research outputs found

    Do best-selected strains perform table olive fermentation better than undefined biodiverse starters? A comparative study

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    Twenty-seven Lactobacillus pentosus strains, and the undefined starter for table olives from which they were isolated, were characterised for their technological properties: tolerance to low temperature, high salt concentration, alkaline pH, and olive leaf extract; acidifying ability; oleuropein degradation; hydrogen peroxide and lactic acid production. Two strains with appropriate technological properties were selected. Then, table olive fermentation in vats, with the original starter, the selected strains, and without starter (spontaneous fermentation) were compared. Starters affected some texture profile parameters. The undefined culture resulted in the most effective Enterobacteriaceae reduction, acidification and olive debittering, while the selected strains batch showed the lowest antioxidant activity. Our results show that the best candidate strains cannot guarantee better fermentation performance than the undefined biodiverse mix from which they originate

    Fault diagnosis of wind turbine gearboxes through on-site measurements and vibrational signal processing

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    Condition monitoring of wind turbine gearboxes has attracted an impressive amount of attention in the wind energy literature. This happens for practical issues, as gearbox damages account for at least the 20% of wind turbines operational unavailability, and for scientific issues as well, because the condition monitoring of gear-based mechanical systems undergoing non-stationary operation is particularly challenging. The present work is devoted to the diagnosis of gearbox damages through a novel approach, designed exclusively for this study, based on on-site measurements and data post-processing. The main point of this method is the relatively easy repeatability, also for wind turbine practitioners, and its low impact on wind turbine operation: actually, the measuring site is not the gearbox itself, but the tower, further from the gearbox but in an easily accessible place. A real test case has been considered: a multi mega-watt wind turbine sited in Italy and owned by the Renvico company. The vibration measurements at the wind turbine suspected to be damaged and at a reference wind turbine are processed through a multivariate Novelty Detection algorithm in the feature space. The application of this algorithm is justified by univariate statistical tests on the time-domain features selected and by a visual inspection of the dataset via Principal Component Analysis. Finally, the novelty indices based on such time-domain features, computed from the accelerometric signals acquired inside the turbine tower, prove to be suitable to highlight a damaged condition in the wind-turbine gearbox, which can be then successfully monitored

    Evaluación del riego por superficie mediante el uso de sensores en el Alto Valle del Río Negro y Neuquén

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    El Alto Valle de Rio Negro y Neuquén (AVRNyN) representa un área productiva que abarca los valles aluviales del bajo Neuquén, bajo Limay y alto rio Negro. Los métodos de riego más ampliamente utilizados en la zona son los de tipo gravitacional, por lo que planificar el riego es de suma importancia para lograr que el mismo sea suficiente, oportuno y uniforme. La finalidad de la planificación es conseguir la máxima eficiencia de utilización del agua agregada y el máximo retorno del dinero invertido, evitando la utilización excesiva de agua, que conduce a resultados económicos y ambientales desfavorables. La tecnificación del riego gravitacional o la utilización de tecnologías para su seguimiento es un paso de gran importancia para obtener mejores rendimientos en la producción. Un ejemplo de ello es la utilización de sensores para la determinación de la humedad del suelo en las áreas a irrigar. El objetivo del presente trabajo es evaluar la eficiencia de un riego realizado en una parcela frutícola ubicada en General Roca, Rio Negro durante el ciclo productivo 2019-2020, utilizando sensores para la determinación de las condiciones de humedad del suelo previas y posteriores al riego.Sociedad Argentina de Informática e Investigación Operativ
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