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Francesco Adamo
Ruolo
Ricercatore
Organizzazione
Politecnico di Bari
Dipartimento
Dipartimento di Ingegneria Elettrica e dell'Informazione
Area Scientifica
Area 09 - Ingegneria industriale e dell'informazione
Settore Scientifico Disciplinare
ING-INF/07 - Misure Elettriche e Elettroniche
Settore ERC 1° livello
PE - Physical sciences and engineering
Settore ERC 2° livello
PE7 Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering
Settore ERC 3° livello
PE7_11 - Components and systems for applications (in e.g. medicine, biology, environment)
L'articolo descrive un banco di prova automatico progettato e realizzato con lo scopo di caratterizzare, in modo semplice e ripeti bile, il comportamento degli elastici IJtilizzati nei fucili per lo pesca subacquea. Questi elastici, una volta allungati, grazie alla loro notevole capacità di contrarsi rapidamente, vengono adottati come propulsori del dardo di questi specifici attrezzi da pesco. Il sistemo realizzato consente lo valutazione del loro comportamento rìcavandone la curvo sforzo-deformazione (o-e) 01 variare di alcuni parametri significativi quali l'elongazione percentuale e il tempo trascorso fra lo fase di allungamento e il successivo scarico a cui il provino è sottoposto.
In questo articolo è illustrato un nuovo metodo per la stima del contenuto spettrale di segnali affetti da fluttuazioni di ampiezza e frequenza. Il metodo permette di analizzare i segnali della rete elettrica dove la frequenza e l’ampiezza della componente fondamentale possono variare nel tempo.
In questa memoria è illustrato un metodo per la stima del contenuto spettrale di segnali modulati in frequenza. Il metodo è stato sviluppato per l’analisi di segnali della rete elettrica dove, come ben noto, la frequenza e la fase della componente fondamentale possono cambiare lentamente nel tempo. Esso si basa su una scelta differente delle funzioni armoniche rispetto a quelle generalmente utilizzate come base nel calcolo della Trasformata Discreta di Fourier (DFT). In particolare il metodo ammette una variazione nel tempo della frequenza di tali funzioni, calcolata sulla base di un rivelatore di fase istantanea. L’ortogonalità della base è preservata utilizzando un cambio del sistema temporale di riferimento. La teoria è stata sviluppata in tempo continuo e successivamente implementata in tempo discreto e verificata con simulazioni numeriche.
L’articolo descrive un banco di prova automatico progettato e realizzato con lo scopo di caratterizzare, in modo semplice, efficace e ripetibile il comportamento degli elastici utilizzati nei fucili per la pesca subacquea. Questi elastici, una volta allungati, grazie alla loro capacità di rilasciare rapidamente l’energia accumulata, sono oggi adottati come propulsori del dardo di questi specifici attrezzi da pesca. Il sistema realizzato consente la valutazione del loro comportamento ricavandone la curva sforzo-deformazione (σ-ε) al variare di alcuni parametri significativi quali l’elongazione massima percentuale e il tempo trascorso fra il termine della fase di allungamento e il momento del rilascio; i cicli di prova sono gestiti da un sofisticato circuito a microcontrollore appositamente progettato, gestito in remoto da uno strumento virtuale sviluppato in LabVIEW.
This paper describes the realization of an automated system for rubber characterization in spearfishing applications. These materials, once lengthened, thanks to their ability to shrink very quickly, are used as dart propellers in fishing spears. The system permits the evaluation of the rubber behavior getting its stress vs. strain curve, allowing also the study of the effects of one or more parameters change like the maximum percentage elongation and the time elapsed between the stretching and shrinking phases at which the device under test is subj
In this paper a prototype of an energy monitoring device based on an open source concept is presented. This architecture assures several advantages with respect to traditional energy meters, such as easy development of new applications making cost- and time-effective the migration to future smart grid infrastructures and simple adjustments to change in the relevant standards. The open source philosophy has been adopted designing the software components in order to make all features easily customizable by the user. In this work the characterization of the acquisition channels using measurement data obtained stimulating them with signals generated using a high-accuracy waveform generation module is presented.
The purpose of this work is to analyze and to quantify the contributions of measurement uncertainty in the human exposure to vibrations. Typically, the high-level vibrations exposure in workplace can cause the onset of pathologies affecting musculoskeletal, vascular and neurological systems. Regulations and Standards lay down the assessment of the health risks arising from vibrations by using specific instruments and a proper measurement procedure. This paper proposes a methodology for the uncertainty evaluation of exposure to hand-arm and whole-body vibrations; as a main contribution, the uncertainty analysis of daily exposure hand-arm vibrations and whole-body vibrations is provided in order to estimate the exposition vibrations and to reduce the risks of the worker. This activity was developed in collaboration with Military Navy Arsenal in Taranto (South Italy), which is active all along in the protection of health and the safety in the workplace
The purpose of this work is twofold: first to investigate the accuracy of Photo-Voltaic (PV) modeling under non-standard test conditions (STCs), and then to estimate the inaccuracies on maximum power prediction for different PV technologies; this is achieved through the comparison between predicted and measured data under a variety of operating conditions. The developed technique is based on the identification of the modules parameters of the double-diode equivalent circuit. The model has been validated by experimental data taken on five different ?2 kWp plants of the PV LABoratory (PV-LAB), with different interconnection schemes, and it predicts the power production for mono and poly crystalline Silicon (m-Si and p-Si) plants, while the prediction for CIGS and CdTe PV plants appears less accurate. Results of this comparison are then used to analyze the impact of prediction inaccuracy under real operating conditions
The purpose of this work is to evaluate how the choice of mother wavelet function affects ultrasound image denoising. The paper presents a detailed analysis of the properties of each wavelet family highlighting their properties and limitations in ultrasound image filtering applications. The study has been carried out using controlled noise-variance ultrasound images simulated by Field II program in order to compare the effectiveness of filtering. Medical image quality for each wavelet function has been evaluated using two different metrics: the classical peak signal-to-noise ratio and the edges preservation in the filtered image. Significant remarks have been found out from the analysis providing valuable information to obtain best image for ultrasound exams. Finally real high-quality ultrasound images have been processed by the proposed method to validate obtained results.
The shore-side electrical power supply to a ship at berth (also known as Cold Ironing –CI) is an important issue to obtain the reduction of ship emissions and to make ports more environmental-friendly. Due to European Commission recommendations the principal European ports are planning to install this technology, especially for harbour areas with high pollution levels. In this context, the municipality of Taranto (Italy) is focusing its attention on new actions aimed at the environmental requalification of port area based on cold ironing. In this paper, the authors gather and analyze the data associated with the berthing operations and resulting emissions to better define suitable actions for emissions reduction and to suggest some possible strategies for bringing down pollutants, in order to reach a wealth based on environmental preservation.
Coastal erosion is a natural phenomenon affecting a growing number of worldwide sites. The impact of the waves on coast is cause of debris removal and soil erosion. The effect depends on wave strength, action time, and wave direction. In literature, several models have been proposed to estimate the mean rate of sediments moved annually alongshore. In the manuscript, the authors propose a prediction model to estimate the evolution of shoreline due to coastal erosion. Three altimeters are used to measure the instantaneous sea surface elevation.Directional wave spectrum is computed in order to estimate the direction of wave propagation and its measurement uncertainty. The shoreline is discretised into a finite number of linear segments. Then, according to historical information on the shoreline transformation, the impact of the wave on the coast is evaluated. Subsequently, the model predicts the changes of each line segment estimating the future shoreline.
This paper describes the realization of an automated system for rubber characterization in spearfishing applications. These materials, once lengthened, thanks to their ability to shrink very quickly, are used as dart propellers in fishing spears. The system permits the evaluation of the rubber behavior getting its stress vs. strain curve, allowing also the study of the effects of one or more parameters change like the maximum percentage elongation and the time elapsed between the stretching and shrinking phases at which the device under test is subject.
Smart grids and Smart Meters (SM) are considered two key factors to build greener and cheaper ways of managing energy. Generally speaking, smart metering is the major task toward the implementation of the paradigm of the SGs. New players have appeared and existing players are adapting their business model to achieve competitiveness and security of supply in a context of growing environmental pressure.
Years of unbridled growth, with no respect for rules, in many cases due to the absence of effective monitoring tools, have produced in some localized areas of Italy the so-called eco-monsters, to which a state of widespread pollution due to multiple anthropogenic causes must be added. In this paper a review of current and emergent available techniques, materials and tools for water monitoring is presented; new solutions and designing criteria meeting low-cost specification are also proposed.
This paper presents the application of a measurement procedure for improving data acquisition for the characterization of soft magnetic ferrites. The approach is based on a voltamperometric technique and is aimed at better measure minor asymmetric cycles improving the quality and resolution of measurement data. Physical and mathematical conditions require the use of current and voltage signals with very different dynamic range since the major loop has to be traced together to the minor cycles. In such a way, the possibility to get the signal via two channels with different configuration is analyzed and discussed. Preliminary results are reported in the paper together to some preliminary concerns relevant to the metrological characterization of the method.
Il problema fondamentale dell’energia ottenuta da fonti rinnovabili è che esse non sono sorgenti prevedibili per cui il gestore della rete riesce con molta difficoltà ad accumulare o smaltire grandi quantità di energia in eccesso così come non può affidarsi a queste fonti per pianificare i flussi di potenza nelle ore più critiche della giornata. Oggi si punta pertanto a sviluppare tecnologie che consentano di valutare in tempo praticamente reale la quantità e dal qualità [1] dell’energia prodotta da fonti energetiche attive in una data area e in certe condizioni ambientali e di determinarne il costo. Uno dei problemi connessi alla liberalizzazione del mercato elettrico è quello della autovalutazione, dei disturbi che ogni singolo produttore e utilizzatore immette in rete [2] al fine di minimizzarli. Con queste premesse, risulta vitale per il gestore [3] e spesso anche per l’utente identificare le eventuali fonti di disturbo [4] e attuare le giuste misure per compensarli; parimenti, risulta fondamentale per il produttore risalire a eventuali sorgenti di guasto nel suo impianto e, ricostruire lo storico della sua produzione, così da identificare le cause di problemi ricorrenti e intervenire tempestivamente. In questo modo si possono ridurre i costi di manutenzione e gestione aumentando l’affidabilità globale dell’impianto e riducendo il tempo necessaria al rientro dell’investimento iniziale.
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