Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ahlam Mallak"'
Autor:
Ahlam Mallak, Madjid Fathi
Publikováno v:
Sensors, Vol 21, Iss 2, p 433 (2021)
Anomaly occurrences in hydraulic machinery might lead to massive system shut down, jeopardizing the safety of the machinery and its surrounding human operator(s) and environment, and the severe economic implications following the faults and their ass
Externí odkaz:
https://doaj.org/article/190f556818a24922adc3bfed1ae89e5e
Autor:
Ahlam Mallak, Madjid Fathi
Publikováno v:
Sci, Vol 2, Iss 4, p 75 (2020)
In this work, a hybrid component Fault Detection and Diagnosis (FDD) approach for industrial sensor systems is established and analyzed, to provide a hybrid schema that combines the advantages and eliminates the drawbacks of both model-based and data
Externí odkaz:
https://doaj.org/article/bba087e5a56a4f768ad13c40d4a4c4ca
Autor:
Madjid Fathi, Ahlam Mallak
Publikováno v:
Sensors, Vol 21, Iss 433, p 433 (2021)
Sensors
Volume 21
Issue 2
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 2
Sensors (Basel, Switzerland)
Anomaly occurrences in hydraulic machinery might lead to massive system shut down, jeopardizing the safety of the machinery and its surrounding human operator(s) and environment, and the severe economic implications following the faults and their ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::270e70acc60d051f49faabc6bd6c1e7a
https://www.mdpi.com/1424-8220/21/2/433
https://www.mdpi.com/1424-8220/21/2/433
Autor:
Ahlam Mallak, Madjid Fathi
Feature selection is a crucial step to overcome the curse of dimensionality problem in data mining. This work proposes Recursive k-means Silhouette Elimination (RkSE) as a new unsupervised feature selection algorithm to reduce dimensionality in univa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13ae06c41e79807e172dfed08eeb9ad1
https://doi.org/10.20944/preprints202008.0254.v1
https://doi.org/10.20944/preprints202008.0254.v1
Publikováno v:
2019 International Conference on Computational Science and Computational Intelligence (CSCI).
A Mobile Wireless Sensor Network (MWSN) is a network of mobile sensor nodes that are spatially separated in an open or closed space, which work altogether to sense various system environmental and physical parameters. The state-of-the art is full of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4830967240452949a53a04baa3035b0a
https://doi.org/10.1109/csci49370.2019.00224
https://doi.org/10.1109/csci49370.2019.00224
Autor:
Nazeer T. Mohammed Saeed, Christian Weber, Klaus-Dieter Kuhnert, Ahlam Mallak, Madjid Fathi, Roman Obermaisser
Publikováno v:
EIT
Fault Detection, Isolation and Recovery (FDIR) are becoming increasingly indispensable for real-time systems. Active diagnosis systems, therefore, are endeavoring to increase the reliability of real-time systems by computing at run-time the diagnosti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbc6bb9afd0b844caa4577bcc8464606
https://doi.org/10.1109/eit.2019.8834013
https://doi.org/10.1109/eit.2019.8834013
Autor:
Madjid Fathi, Ahlam Mallak
Publikováno v:
Sci
Volume 2
Issue 4
Issue 3
Sci, Vol 2, Iss 75, p 75 (2020)
Sci, Vol 2, Iss 61, p 61 (2020)
Volume 2
Issue 4
Issue 3
Sci, Vol 2, Iss 75, p 75 (2020)
Sci, Vol 2, Iss 61, p 61 (2020)
In this work, A hybrid component Fault Detection and Diagnosis (FDD) approach for industrial sensor systems is established and analyzed, to provide a hybrid schema that combines the advantages and eliminates the drawbacks of both model-based and data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cbc1f918ee3439b252ec852062fc735
https://doi.org/10.3390/sci2040075
https://doi.org/10.3390/sci2040075
Publikováno v:
2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES).
Fault detection and diagnosis in HVAC systems such as demand-controlled ventilation systems, is a crucial step to attain optimal user comfort and energy saving, through providing fast and accurate monitoring, control, and recovery solutions in buildi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::998438d60cd0d8d1847425f3d63f7846
https://doi.org/10.1109/ines.2018.8523895
https://doi.org/10.1109/ines.2018.8523895
Autor:
Ali Behravan, Christian Weber, Ahlam Mallak, Deepak Hanike Basavegowda, Roman Obermaisser, Madjid Fathi
Publikováno v:
2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI).
The main purpose of a heating, ventilation and air-conditioning system is to provide thermal comfort and acceptable indoor air quality through adequate natural ventilation by exchanging the building zone air with the outside fresh air, as an option.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9dd229e69d67d94ee0ad3af307402b9
https://doi.org/10.1109/kbei.2017.8324986
https://doi.org/10.1109/kbei.2017.8324986
Publikováno v:
2017 IEEE European Technology and Engineering Management Summit (E-TEMS).
Active diagnosis is the retrieval and analysis of the diagnostic information at runtime. In order to enhance the system ability for detecting faults, isolating them, and deciding the most suitable recovery action during the shortest possible completi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9907f9a06fd8026bf7ab0daa6e7ec8ee
https://doi.org/10.1109/e-tems.2017.8244219
https://doi.org/10.1109/e-tems.2017.8244219