Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Giuseppe Fabio Ceschini"'
Autor:
Fabrizio Riguzzi, Giuseppe Cota, Giuseppe Fabio Ceschini, Mauro Venturini, Enzo Losi, Giovanni Bechini, Lucrezia Manservigi
Publikováno v:
Volume 8: Oil and Gas Applications; Steam Turbine.
A gas turbine trip is an unplanned shutdown, of which the most relevant consequences are business interruption and a reduction of equipment remaining useful life. Thus, understanding the underlying causes of gas turbine trip would allow predicting it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85def26dcedf4ec65e8f999b4b950e3f
https://doi.org/10.1115/gt2021-58916
https://doi.org/10.1115/gt2021-58916
Autor:
Javier Artal de la Iglesia, Giovanni Bechini, Giuseppe Fabio Ceschini, Lucrezia Manservigi, Daniel Murray, Mauro Venturini, Enzo Losi
Publikováno v:
ISA transactions. 123
The reliability of gas turbine diagnostics clearly relies on reliable measurements. However, raw data reliability can be corrupted by label noise issues, as for instance an erroneous association between data and the respective unit of measure. Such i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0737fbc0bc371838040070ed2a75604
https://pubmed.ncbi.nlm.nih.gov/34092394
https://pubmed.ncbi.nlm.nih.gov/34092394
Autor:
Lucrezia Manservigi, Mauro Venturini, Enzo Losi, Giuseppe Fabio Ceschini, Fabrizio Riguzzi, Giuseppe Cota, Giovanni Bechini
A gas turbine trip is an unplanned shutdown, of which the consequences are business interruption and a reduction of equipment remaining useful life. Therefore, detection and identification of symptoms of trips would allow predicting its occurrence, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00d966c8da5bca09ec37614f82a78d96
http://hdl.handle.net/11392/2471951
http://hdl.handle.net/11392/2471951
Autor:
Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi
At present, the challenges related to energy market force gas turbine owners to improve the reliability and availability of gas turbine engines, especially in the ever competitive Oil and Gas sector. Gas turbine trip leads to business interruption an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::143d4240cdf6f1101e81ce176f13b326
http://hdl.handle.net/11392/2447180
http://hdl.handle.net/11392/2447180
Publikováno v:
Journal of Engineering for Gas Turbines and Power. 142
Sensor fault detection and classification is a key challenge for machine monitoring and diagnostics, since raw data cleaning represents a key process in the gas turbine industry. To this end, this paper presents a comprehensive approach for detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e6f23ec2160871fcc8abb311bba450
https://doi.org/10.1115/1.4045711
https://doi.org/10.1115/1.4045711
Autor:
Giovanni Bechini, Daniel Murray, Javier Artal de la Iglesia, Lucrezia Manservigi, Enzo Losi, Giuseppe Fabio Ceschini, Mauro Venturini
The evaluation of sensor reliability is fundamental for all types of energy systems. Regardless of the environment in which a sensor is installed, only a reliable measurement can lead to optimal decisions about system operation and health state. In f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::518ae15e85ae71519b0b19cf07ee7509
http://hdl.handle.net/11392/2427186
http://hdl.handle.net/11392/2427186
Autor:
Mauro Venturini, Giuseppe Fabio Ceschini, Lucrezia Manservigi, Enzo Losi, Giovanni Bechini, Fabrizio Riguzzi, Giuseppe Cota
The challenges related to current energy market force gas turbine owners to improve the reliability and availability of gas turbine engines, especially in the ever competitive market of the Oil & Gas sector. Gas turbine trip leads to business interru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b122573bf835488a79de7ddae40977f
http://hdl.handle.net/11392/2427184
http://hdl.handle.net/11392/2427184
Publikováno v:
Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy.
Sensor fault detection is a crucial aspect for raw data cleaning in gas turbine industry. To this purpose, a comprehensive approach for Improved Detection, Classification and Integrated Diagnostics of Gas Turbine Sensors (named I-DCIDS) was developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4919b57ec420374b44341ea8f540c678
https://doi.org/10.1115/gt2019-90056
https://doi.org/10.1115/gt2019-90056
Nowadays, gas turbines are equipped with an increasing number of sensors, of which the acquired data are used for monitoring and diagnostic purposes. Therefore, anomaly detection in sensor time series is a crucial aspect for raw data cleaning, in ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4052cb7f4417cdf910cab98a5716b8a5
http://hdl.handle.net/11392/2410880
http://hdl.handle.net/11392/2410880
Sensor fault detection and classification is a key challenge for machine monitoring and diagnostics. To this purpose, a comprehensive approach for Detection, Classification and Integrated Diagnostics of Gas Turbine Sensors (named DCIDS), previously d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15b8bf173f44a8fd11836b5170347f5c
http://hdl.handle.net/11392/2408300
http://hdl.handle.net/11392/2408300