SFERA Archivio dei prodotti della Ricerca dell'Università di Ferrara

LOSI, ENZO
 Distribuzione geografica
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Continente #
NA - Nord America 722
EU - Europa 316
AS - Asia 172
AF - Africa 16
SA - Sud America 4
OC - Oceania 3
Totale 1.233
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Nazione #
US - Stati Uniti d'America 721
IT - Italia 172
CN - Cina 81
SG - Singapore 55
GB - Regno Unito 37
DE - Germania 36
AT - Austria 21
FI - Finlandia 15
DZ - Algeria 12
SE - Svezia 10
ID - Indonesia 7
MY - Malesia 6
NO - Norvegia 6
SA - Arabia Saudita 5
BR - Brasile 4
KR - Corea 4
AU - Australia 3
IR - Iran 3
NL - Olanda 3
RO - Romania 3
TR - Turchia 3
UA - Ucraina 3
AE - Emirati Arabi Uniti 2
BY - Bielorussia 2
ES - Italia 2
FR - Francia 2
HK - Hong Kong 2
MA - Marocco 2
RU - Federazione Russa 2
VN - Vietnam 2
ZA - Sudafrica 2
CA - Canada 1
IE - Irlanda 1
IN - India 1
JP - Giappone 1
PL - Polonia 1
Totale 1.233
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Città #
Fairfield 92
Chandler 76
Ferrara 63
Woodbridge 57
Ashburn 49
Wilmington 43
Cambridge 41
Beijing 39
Seattle 37
Houston 34
Milan 32
Shanghai 32
Singapore 32
Los Angeles 23
Boardman 22
Vienna 21
Addison 19
Bremen 19
Princeton 19
Padova 13
Helsinki 10
San Diego 9
Rome 8
London 7
Jakarta 6
Redwood City 6
Stavanger 6
Algiers 5
Ann Arbor 5
Bologna 5
Cagliari 5
Chicago 5
Jeddah 5
Lappeenranta 5
Munich 5
Reggio Emilia 5
Tizi Ouzou 5
Amsterdam 3
Draper 3
Frankfurt am Main 3
Izmir 3
Karlsruhe 3
Palermo 3
Reading 3
San Lazzaro 3
Washington 3
Alhaurín El Grande 2
Ariano nel Polesine 2
Campinas 2
Casablanca 2
Chlef 2
Fiumicino 2
Grahamstown 2
Hanoi 2
Kropyvnytskyi 2
Monselice 2
Nembro 2
Norwalk 2
Oschiri 2
Rovigo 2
Stetten 2
Sydney 2
Tianjin 2
Acton 1
Athens 1
Balikpapan 1
Cadoneghe 1
Central District 1
Chongqing 1
Dallas 1
Dearborn 1
Duncan 1
Fort Collins 1
Hamburg 1
Horki 1
Jinan 1
Kilburn 1
Kuala Lumpur 1
Magenta 1
Mogilev 1
Mong Kok 1
Mountain View 1
Muar 1
New Delhi 1
Ningbo 1
Palau 1
Pantai 1
Paris 1
Prescot 1
Québec 1
Randwick 1
Rio De Janeiro 1
Seoul 1
Tokyo 1
Trieste 1
Wuhan 1
Yeovil 1
Totale 960
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Nome #
Anomaly detection in gas turbine time series by means of Bayesian hierarchical models 86
A general diagnostic methodology for sensor fault detection, classification and overall health state assessment 78
Application of a physics-based model to predict the performance curves of pumps as turbines 77
Prediction of compressor efficiency by means of Bayesian Hierarchical Models 71
Gas turbine health state prognostics by means of Bayesian hierarchical models 68
Autoregressive Bayesian Hierarchical Model to Predict Gas Turbine Degradation 67
Structured Methodology for Clustering Gas Turbine Transients by means of Multi-variate Time Series 65
Development and Validation of a General and Robust Methodology for the Detection and Classification of Gas Turbine Sensor Faults 62
Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models 60
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 59
Gas turbine health state prognostics by means of Bayesian hierarchical models 51
Machine Learning Approaches for the Prediction of Gas Turbine Transients 48
Detection of Unit of Measure Inconsistency by means of a Machine Learning Model 45
Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series 42
Optimal selection of pumps as turbines for maximizing electrical energy production 37
Validation of an advanced diagnostic methodology for the identification and classification of gas turbine sensor faults by means of field data 36
Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip 33
DATA-DRIVEN METHODOLOGIES FOR THE DIAGNOSTICS AND PROGNOSTICS OF GAS TURBINE HEALTH STATE 32
Prediction of Gas Turbine Trip: a Novel Methodology based on Random Forest Models 31
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 29
Optimal design and energy management of a renewable energy plant with seasonal energy storage 28
Detection and identification of faults in a District Heating Network 23
A diagnostic approach for fault detection and identification in district heating networks 23
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 20
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 18
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 17
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 15
ANALYSIS OF A MULTI-GENERATION RENEWABLE ENERGY SYSTEM WITH HYDROGEN FUELED GAS TURBINE 14
STATISTICAL RULE EXTRACTION FOR GAS TURBINE TRIP PREDICTION 13
Hybrid diagnostic approach for the diagnosis of district heating networks 13
Analysis of a Multi-Generation Renewable Energy System With Hydrogen-Fueled Gas Turbine 13
Detection of Unit of Measure Inconsistency in gas turbine sensors by means of Support Vector Machine classifier 12
Optimal Classifier to Detect Unit of Measure Inconsistency in Gas Turbine Sensors 11
Statistical Rule Extraction for Gas Turbine Trip Prediction 10
Optimal management with demand response program for a multi-generation energy system 10
Fault diagnosis in district heating networks 9
Development and validation of a comprehensive methodology for predicting PAT performance curves 9
Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models 8
Optimization of a renewable energy plant with seasonal energy storage for the transition towards 100% renewable energy supply 6
Concurrent Design and Operation Optimization of a Multi-Generation Energy System by Using a SMO-MILP Hybrid Algorithm 5
Influence of the trigger time window on the detection of gas turbine trip 5
Application of Transfer Learning for the Prediction of Gas Turbine Trip 4
Methodology to Monitor Early Warnings Before Gas Turbine Trip 2
Methodology to Monitor Early Warnings Before Gas Turbine Trip 2
Optimal Selection and Operation of Pumps As Turbines for Maximizing Energy Recovery 1
Prediction of Gas Turbine Trip by Combining Gas Path Measurements and Vibration Signals 1
Totale 1.369
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Categoria #
all - tutte 11.182
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 11.182
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020191 0 0 0 35 10 20 23 27 33 16 23 4
2020/2021235 3 7 26 15 10 58 24 14 21 33 16 8
2021/2022240 33 4 4 0 29 16 13 45 10 14 16 56
2022/2023273 25 19 19 8 51 25 54 17 28 2 19 6
2023/2024333 27 30 31 11 13 15 6 29 7 13 42 109
2024/202597 55 42 0 0 0 0 0 0 0 0 0 0
Totale 1.369