SFERA Archivio dei prodotti della Ricerca dell'Università di Ferrara

LOSI, ENZO
 Distribuzione geografica
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Continente #
NA - Nord America 1.873
AS - Asia 1.518
EU - Europa 1.160
SA - Sud America 371
AF - Africa 70
OC - Oceania 6
Totale 4.998
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Nazione #
US - Stati Uniti d'America 1.785
SG - Singapore 733
CN - Cina 320
IT - Italia 313
BR - Brasile 309
DE - Germania 297
HK - Hong Kong 193
FI - Finlandia 145
GB - Regno Unito 93
VN - Vietnam 89
RU - Federazione Russa 60
CA - Canada 47
AT - Austria 39
PL - Polonia 37
MX - Messico 34
NL - Olanda 32
ID - Indonesia 27
ZA - Sudafrica 27
AR - Argentina 23
IE - Irlanda 22
JP - Giappone 22
SE - Svezia 22
IN - India 20
UA - Ucraina 20
TR - Turchia 19
DZ - Algeria 18
MY - Malesia 13
BE - Belgio 12
ES - Italia 12
FR - Francia 12
IQ - Iraq 12
LT - Lituania 11
VE - Venezuela 11
AE - Emirati Arabi Uniti 10
BD - Bangladesh 10
MA - Marocco 10
PK - Pakistan 8
SA - Arabia Saudita 8
CO - Colombia 7
KR - Corea 7
AU - Australia 6
CH - Svizzera 6
NO - Norvegia 6
IR - Iran 5
UY - Uruguay 5
CL - Cile 4
GR - Grecia 4
BY - Bielorussia 3
CM - Camerun 3
EC - Ecuador 3
JO - Giordania 3
KZ - Kazakistan 3
PE - Perù 3
PY - Paraguay 3
RO - Romania 3
TN - Tunisia 3
UZ - Uzbekistan 3
AL - Albania 2
AM - Armenia 2
BO - Bolivia 2
EG - Egitto 2
ET - Etiopia 2
JM - Giamaica 2
KE - Kenya 2
LI - Liechtenstein 2
MD - Moldavia 2
PH - Filippine 2
AZ - Azerbaigian 1
BA - Bosnia-Erzegovina 1
CZ - Repubblica Ceca 1
DM - Dominica 1
DO - Repubblica Dominicana 1
EE - Estonia 1
GH - Ghana 1
HN - Honduras 1
IL - Israele 1
KG - Kirghizistan 1
KW - Kuwait 1
LV - Lettonia 1
NG - Nigeria 1
NP - Nepal 1
OM - Oman 1
PA - Panama 1
PS - Palestinian Territory 1
RS - Serbia 1
SR - Suriname 1
TH - Thailandia 1
TT - Trinidad e Tobago 1
TW - Taiwan 1
YT - Mayotte 1
Totale 4.998
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Città #
Singapore 416
Ashburn 351
Munich 213
Santa Clara 191
Hong Kong 181
Beijing 144
Helsinki 106
Ferrara 100
Fairfield 92
Chandler 76
Los Angeles 61
Woodbridge 57
Dallas 48
Houston 48
São Paulo 48
Milan 44
Wilmington 43
New York 42
Cambridge 41
Seattle 40
Shanghai 37
Warsaw 33
Hefei 31
Ho Chi Minh City 30
Vienna 29
Chicago 23
Boardman 22
London 22
Mexico City 22
Dublin 20
Addison 19
Bremen 19
Brooklyn 19
Falkenstein 19
Princeton 19
Tokyo 19
Jakarta 18
Hanoi 16
Montreal 16
Padova 16
Turku 16
Amsterdam 15
Toronto 14
Stockholm 12
Chennai 11
Johannesburg 11
Haiphong 10
Moscow 10
Poplar 10
Rome 10
Belo Horizonte 9
Bologna 9
Brussels 9
Frankfurt am Main 9
Lappeenranta 9
Manchester 9
Nuremberg 9
Rio de Janeiro 9
San Diego 9
Ankara 8
Atlanta 8
Jyväskylä 8
Phoenix 8
San Francisco 8
Algiers 7
Brasília 7
Denver 7
Orem 7
Palermo 7
Assago 6
Boston 6
Grahamstown 6
Jeddah 6
Redwood City 6
Stavanger 6
The Dalles 6
Verona 6
Xi'an 6
Ann Arbor 5
Cagliari 5
Campinas 5
Curitiba 5
Erbil 5
Montevideo 5
Querétaro 5
Reggio Emilia 5
Sydney 5
Tianjin 5
Tizi Ouzou 5
Calgary 4
Hangzhou 4
Ottawa 4
Pittsburgh 4
Asse 3
Athens 3
Baghdad 3
Biên Hòa 3
Bolton 3
Buenos Aires 3
Buffalo 3
Totale 3.212
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Nome #
Machine Learning Approaches for the Prediction of Gas Turbine Transients 229
Concurrent Design and Operation Optimization of a Multi-Generation Energy System by Using a SMO-MILP Hybrid Algorithm 224
Prediction of Gas Turbine Trip by Combining Gas Path Measurements and Vibration Signals 167
Anomaly detection in gas turbine time series by means of Bayesian hierarchical models 164
A general diagnostic methodology for sensor fault detection, classification and overall health state assessment 158
Structured Methodology for Clustering Gas Turbine Transients by means of Multi-variate Time Series 150
Application of a physics-based model to predict the performance curves of pumps as turbines 149
Autoregressive Bayesian Hierarchical Model to Predict Gas Turbine Degradation 136
A diagnostic approach for fault detection and identification in district heating networks 125
Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models 122
Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip 118
Analysis of a Multi-Generation Renewable Energy System with Hydrogen-Fueled Gas Turbine 117
Gas turbine health state prognostics by means of Bayesian hierarchical models 112
Prediction of compressor efficiency by means of Bayesian Hierarchical Models 112
Pressure management in water distribution networks by means of pumps as turbines: a case study in Northern Italy 111
Data-driven methodologies for the diagnostics and prognostics of gas turbine health state 110
Prediction of Gas Turbine Trip: a Novel Methodology based on Random Forest Models 109
Optimal selection of pumps as turbines for maximizing electrical energy production 104
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 101
Optimal design and energy management of a renewable energy plant with seasonal energy storage 101
Detection of Unit of Measure Inconsistency by means of a Machine Learning Model 99
Statistical Rule Extraction for Gas Turbine Trip Prediction 95
Development and Validation of a General and Robust Methodology for the Detection and Classification of Gas Turbine Sensor Faults 95
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 94
Gas turbine health state prognostics by means of Bayesian hierarchical models 90
Data-driven approach for the detection of faults in district heating networks 89
Impact of Climate Change on Solar PV Potential in Europe 88
Data-driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation 87
Analysis of a Multi-Generation Renewable Energy System With Hydrogen-Fueled Gas Turbine 87
Detection and identification of faults in a District Heating Network 86
Validation of an advanced diagnostic methodology for the identification and classification of gas turbine sensor faults by means of field data 85
Optimal Classifier to Detect Unit of Measure Inconsistency in Gas Turbine Sensors 84
Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series 83
Analysis of Pumped Hydro Storage Using Mines as Hydro Reservoirs 82
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 79
Optimal management with demand response program for a multi-generation energy system 75
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 72
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 70
Development and validation of a comprehensive methodology for predicting PAT performance curves 70
Statistical Rule Extraction for Gas Turbine Trip Prediction 69
Optimal Selection and Operation of Pumps As Turbines for Maximizing Energy Recovery 68
Application of Transfer Learning for the Prediction of Gas Turbine Trip 68
Hybrid diagnostic approach for the diagnosis of district heating networks 67
Detection of Unit of Measure Inconsistency in gas turbine sensors by means of Support Vector Machine classifier 61
Energy and Economic Optimization of the Design and Operation of Hybrid Energy Plants under Current and Future Economic Scenarios 60
Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models 56
Optimization of a renewable energy plant with seasonal energy storage for the transition towards 100% renewable energy supply 54
Methodology to Monitor Early Warnings Before Gas Turbine Trip 52
Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation 51
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 50
Unsupervised Methodology for the Prognostics of Gas Turbine Abrupt Faults 46
Fault diagnosis in district heating networks 44
Influence of the trigger time window on the detection of gas turbine trip 42
Methodology to Monitor Early Warnings Before Gas Turbine Trip 34
Optimization of sizing and operation of pumped hydro storage plants under current and future economic scenarios 20
Gas Turbine Diagnostics by Means of Convolutional Neural Networks Fed With Time Series Data Encoded as Images 9
Hydraulic and electrical regulations of pumps as turbines for energy recovery in water distribution networks: Energy and economic analysis 8
Gas Turbine Diagnostics by Means of Convolutional Neural Networks Fed With Time Series Data Encoded as Images 4
Encoding Multivariate Time Series of Gas Turbine Data as Images to Improve Fault Detection Reliability 4
Totale 5.196
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Categoria #
all - tutte 30.168
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 30.168
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021174 0 0 0 0 0 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
2024/20251.816 55 78 109 90 200 174 189 159 236 219 211 96
2025/20262.108 471 188 292 478 532 147 0 0 0 0 0 0
Totale 5.196