LOSI, ENZO
 Distribuzione geografica
Continente #
NA - Nord America 750
EU - Europa 325
AS - Asia 232
AF - Africa 23
SA - Sud America 4
OC - Oceania 3
Totale 1.337
Nazione #
US - Stati Uniti d'America 749
IT - Italia 180
SG - Singapore 109
CN - Cina 82
DE - Germania 37
GB - Regno Unito 37
AT - Austria 21
FI - Finlandia 15
DZ - Algeria 12
SE - Svezia 10
MY - Malesia 8
ID - Indonesia 7
NO - Norvegia 6
ZA - Sudafrica 6
HK - Hong Kong 5
SA - Arabia Saudita 5
BR - Brasile 4
KR - Corea 4
AU - Australia 3
CM - Camerun 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
MA - Marocco 2
RU - Federazione Russa 2
VN - Vietnam 2
CA - Canada 1
IE - Irlanda 1
IN - India 1
JP - Giappone 1
PL - Polonia 1
Totale 1.337
Città #
Fairfield 92
Singapore 79
Chandler 76
Ferrara 63
Woodbridge 57
Ashburn 49
Wilmington 43
Cambridge 41
Beijing 39
Seattle 37
Houston 36
Milan 34
Shanghai 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
Grahamstown 6
Jakarta 6
Redwood City 6
Santa Clara 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
Douala 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
Castel Guelfo di Bologna 2
Changlun 2
Chlef 2
Fiumicino 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
Hong Kong 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
Totale 1.027
Nome #
Anomaly detection in gas turbine time series by means of Bayesian hierarchical models 89
A general diagnostic methodology for sensor fault detection, classification and overall health state assessment 81
Application of a physics-based model to predict the performance curves of pumps as turbines 80
Prediction of compressor efficiency by means of Bayesian Hierarchical Models 72
Gas turbine health state prognostics by means of Bayesian hierarchical models 70
Autoregressive Bayesian Hierarchical Model to Predict Gas Turbine Degradation 69
Machine Learning Approaches for the Prediction of Gas Turbine Transients 68
Structured Methodology for Clustering Gas Turbine Transients by means of Multi-variate Time Series 67
Development and Validation of a General and Robust Methodology for the Detection and Classification of Gas Turbine Sensor Faults 65
Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models 63
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 61
Gas turbine health state prognostics by means of Bayesian hierarchical models 52
Detection of Unit of Measure Inconsistency by means of a Machine Learning Model 48
Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series 44
Optimal selection of pumps as turbines for maximizing electrical energy production 39
DATA-DRIVEN METHODOLOGIES FOR THE DIAGNOSTICS AND PROGNOSTICS OF GAS TURBINE HEALTH STATE 37
Validation of an advanced diagnostic methodology for the identification and classification of gas turbine sensor faults by means of field data 37
Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip 35
Prediction of Gas Turbine Trip: a Novel Methodology based on Random Forest Models 34
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 30
Optimal design and energy management of a renewable energy plant with seasonal energy storage 29
Detection and identification of faults in a District Heating Network 25
A diagnostic approach for fault detection and identification in district heating networks 25
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 21
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 20
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 19
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 17
ANALYSIS OF A MULTI-GENERATION RENEWABLE ENERGY SYSTEM WITH HYDROGEN FUELED GAS TURBINE 16
Analysis of a Multi-Generation Renewable Energy System With Hydrogen-Fueled Gas Turbine 16
Statistical Rule Extraction for Gas Turbine Trip Prediction 15
Detection of Unit of Measure Inconsistency in gas turbine sensors by means of Support Vector Machine classifier 15
Optimal Classifier to Detect Unit of Measure Inconsistency in Gas Turbine Sensors 14
STATISTICAL RULE EXTRACTION FOR GAS TURBINE TRIP PREDICTION 14
Hybrid diagnostic approach for the diagnosis of district heating networks 14
Optimal management with demand response program for a multi-generation energy system 13
Development and validation of a comprehensive methodology for predicting PAT performance curves 10
Fault diagnosis in district heating networks 9
Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models 9
Concurrent Design and Operation Optimization of a Multi-Generation Energy System by Using a SMO-MILP Hybrid Algorithm 7
Optimization of a renewable energy plant with seasonal energy storage for the transition towards 100% renewable energy supply 7
Application of Transfer Learning for the Prediction of Gas Turbine Trip 6
Influence of the trigger time window on the detection of gas turbine trip 6
Optimal Selection and Operation of Pumps As Turbines for Maximizing Energy Recovery 2
Methodology to Monitor Early Warnings Before Gas Turbine Trip 2
Methodology to Monitor Early Warnings Before Gas Turbine Trip 2
Prediction of Gas Turbine Trip by Combining Gas Path Measurements and Vibration Signals 1
Totale 1.475
Categoria #
all - tutte 12.074
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 12.074


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
2024/2025203 55 78 70 0 0 0 0 0 0 0 0 0
Totale 1.475