Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Marek Moleda"'
Publikováno v:
Sensors, Vol 20, Iss 2, p 571 (2020)
IoT enabled predictive maintenance allows companies in the energy sector to identify potential problems in the production devices far before the failure occurs. In this paper, we propose a method for early detection of faults in boiler feed pumps usi
Externí odkaz:
https://doaj.org/article/be4e25ca6f714962b9893fe4896edc29
Publikováno v:
MASCOTS
Ensuring the required accuracy of predictive models operating on time series is very important for industrial diagnostics systems. It is especially visible if there are a lot of models covering hundreds of devices and thousands of measurements operat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a76835f15fbb00bc60338a14b8758ac
https://doi.org/10.1109/mascots50786.2020.9285972
https://doi.org/10.1109/mascots50786.2020.9285972
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504250
ICCS (5)
ICCS (5)
In the industrial world, the Internet of Things produces an enormous amount of data that we can use as a source for machine learning algorithms to optimize the production process. One area of application of this kind of advanced analytics is Predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2c0a0df16d09e46784cb9bf23f9e461
https://doi.org/10.1007/978-3-030-50426-7_24
https://doi.org/10.1007/978-3-030-50426-7_24
Publikováno v:
Sensors, Vol 20, Iss 2, p 571 (2020)
Sensors
Volume 20
Issue 2
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 2
Sensors (Basel, Switzerland)
IoT enabled predictive maintenance allows companies in the energy sector to identify potential problems in the production devices far before the failure occurs. In this paper, we propose a method for early detection of faults in boiler feed pumps usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f64bc527e718b0981abf9261cafb8e4
https://www.mdpi.com/1424-8220/20/2/571
https://www.mdpi.com/1424-8220/20/2/571
Autor:
Marek Moleda, Dariusz Mrozek
Publikováno v:
Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis ISBN: 9783030190927
BDAS
BDAS
The coal-fired power plant regularly produces enormous amounts of data from its sensors, control and monitoring systems. The Volume of this data will be increasing due to widely available smart meters, Wi-Fi devices and rapidly developing IT systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d5e7b3b767a0215e73e442b5e42cf17
https://doi.org/10.1007/978-3-030-19093-4_2
https://doi.org/10.1007/978-3-030-19093-4_2
Publikováno v:
2008 International Conference on Technology and Applications in Biomedicine.
Content-based retrieval of medical images has been shown to be useful for various applications. However, as images are typically stored in compressed form, a certain overhead in terms of computational cost, required bandwith and storage resources is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b21a9bf640457f95144506b2003906b
https://doi.org/10.1109/itab.2008.4570597
https://doi.org/10.1109/itab.2008.4570597
Publikováno v:
Sensors, Vol 23, Iss 13, p 5970 (2023)
Appropriate maintenance of industrial equipment keeps production systems in good health and ensures the stability of production processes. In specific production sectors, such as the electrical power industry, equipment failures are rare but may lead
Externí odkaz:
https://doaj.org/article/6e70141f62354473ada90b3d2710f7e1