1,721,173 research outputs found
Automatic Fault Diagnosis System for a Gas Turbine using a Simulation before Test Approach
No full textIn this paper a Simulation Before Test diagnosis technique for detection of single and double faults in gas turbines is presented. Fault localization is performed by comparing the behavior of turbine under test with simulation data by means of a neural network algorithm. The technique is adaptable to operating and environmental conditions
Experimental analysis for the estimation of the Arrhenius's activation energy of lithium batteries
No full textThe use of Lithium-ion batteries is growing at significantly high rate in many different technological fields. The performances of such devices are deeply affected by the operating conditions. Among them, temperature plays a critical role in the degradation process of Lithium-Ion cells. An important parameter that could be used to analyze this degradation is the Arrhenius's activation energy. However, few study investigate this problem in recent literature. Thus, in this work an experimental measurement setup is proposed to test batteries under different temperature conditions, leading to different wear-out processes depending on the temperature value. The capacity of the battery as a function of the charge-discharge cycle is used to estimate the activation energy by means of the Arrhenius Plot. Multiple scenarios considering different State of Health of the batteries have been considered, estimating the activation energy as a function of the actual battery degradation
Effects of inaccurate electrode positioning in subsurface resistivity measurements for archeological purposes
No full textElectrical Resistivity Tomography is a geophysical measurement technique used to measure the resistivity of the subsoil. For archeological applications the ability to accurately reconstruct the soil stratigraphy is a fundamental requirement. Obtain a reliable subsoil reconstruction is an important topic in order to improve the design of the archeological excavation and, at the same time, to minimize the excavation cost, managing effectively and efficiently the archeological survey. During a measurement campaign on the Etruscan tumulus located in Poggio Pepe (Italy), the electrode GPS coordinates were acquired with a high error. For this reason, the aim of this work is to investigate the effects of the inaccurate electrode positioning in the subsoil reconstruction. A Monte Carlo simulation-based approach was proposed to simulate a domain of possible electrodes positions.
The statistical parameters of the simulated dataset have been studied and compared with the measurement acquisitions in order to highlight the effects of such errors. Finally, the paper presents a comparison between the images of the subsoil reconstruction in case of measured resistivity and simulated dataset
Lithium-ion battery dataset for data driven models’ development
No full textThis paper provides a novel dataset derived from lithium batteries' charge-discharge tests performed at laboratory scale. The primary goal is to enhance available data resources for the scientific community in the field of batteries reliability assessment, focusing our research on a thorough examination of lithium battery behavior. The dataset prioritizes the evaluation of critical parameters such as State-Of-Health (SOH), Remaining-Useful-Life (RUL) and State-Of-Charge (SOC), pivotal parameters for optimizing battery performance across various industrial applications allowing the development of data driven approaches such as Artificial Intelligence based techniques Moreover, the authors tried to replicate the phenomenon of the capacity regeneration due to the long relaxation times of the battery. By offering this expanded dataset, compatible with the well-known and well-established NASA and CALCE datasets, our aim is to facilitate deeper insights into battery behavior, thereby promoting advancements in Battery Management Systems (BMS). This work is part of a wider research mainly focused on studying the battery RUL using AI methodologies
Renewable energy and Sardinian coastal areas: market and environ-mental issues
No full textThe role of renewable energy sources is changing as they are set to replace fossil sources to accomplish the energy requirements in the next future. The direction is set, and energy planners specified quite close dates when to achieve important shares in energy production portfolio by renewables. After considering the meaning of energy communities in the development of renewable sources in a bottom-up perspective, the prediction of vertical axis wind turbines performance is presented to focus the attention on this configuration which is not full commercial TLR as well. The wave energy converters are another example of devices to exploit renewable sources which are gaining a special interest. An application concerning Sardinian coastal areas is presented and some results concerning its energy performance is discusse
A condition monitoring tool based on a FMECA and FMMEA combined approach in Oil&Gas applications
No full textA new approach that combines up both FMECA and FMMEA techniques has been analyzed and apply in the Oil&Gas field. This method guarantees its efficiency along the product/system development cycle and assures a proper maintenance scheduling according to the current condition of the product/system
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