Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Manuel Esperon-Miguez"'
Publikováno v:
International Journal of Prognostics and Health Management, Vol 10, Iss 2 (2019)
The Environmental Control Systems ( ECS ), used to provide air to the aircraft cabin at the correct pressure and temperature, is a key driver of maintenance interruptions for military and civil aircraft. Fault detection is particularly difficult, due
Externí odkaz:
https://doaj.org/article/5ccd51d51d2e468ea0999de5d67edab7
Publikováno v:
International Journal of Prognostics and Health Management, Vol 10, Iss 1 (2019)
This paper discusses the applicability of Visibility Algorithms to detect faults in condition monitoring applications. The general purpose of Visibility Algorithms is to transform time series into graphs and study them through the characterization of
Externí odkaz:
https://doaj.org/article/da83af9d35a84eaca8e4c3c111babf3f
Publikováno v:
International Journal of Prognostics and Health Management, Vol 8, Iss 2 (2017)
Prognostics Health Management (PHM) and Integrated Vehicle Health Management (IVHM) are extensive areas of research. Whereas a lot of work has been done in diagnostics and prognostics, economic viability is an important consideration. The availabilit
Externí odkaz:
https://doaj.org/article/773911ca8c1c431b8a5a26e5934d533a
Publikováno v:
Advances in Mechanical Engineering, Vol 8 (2016)
Health condition monitoring for rotating machinery has been developed for many years due to its potential to reduce the cost of the maintenance operations and increase availability. Covering aspects include sensors, signal processing, health assessme
Externí odkaz:
https://doaj.org/article/f78b022149684c0db967fb62635b20e7
Publikováno v:
International Journal of Prognostics and Health Management, Vol 7, Iss 2 (2016)
Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable effective and efficient maintenance and operation of the target vehicle. It accounts for the collecting of data, conducting analysis, and supporting the decision-
Externí odkaz:
https://doaj.org/article/8e881c719cd346eba23df05a7867cb7e
Publikováno v:
International Journal of Prognostics and Health Management, Vol 7, Iss 2 (2016)
Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable effective and efficient maintenance and operation of the target vehicle. It accounts for the collecting of data, conducting analysis, and supporting the decision-
Publikováno v:
International Journal of Prognostics and Health Management. 10
The Environmental Control Systems ( ECS ), used to provide air to the aircraft cabin at the correct pressure and temperature, is a key driver of maintenance interruptions for military and civil aircraft. Fault detection is particularly difficult, due
Publikováno v:
Applied Thermal Engineering. 172:114925
The environmental control system of a civil aircraft is a major driver of maintenance. Legacy systems, such as those on the Boeing 737, are particularly at risk, as they are not instrumented for health management. These systems degrade in operation a
Publikováno v:
International Journal of Prognostics and Health Management, ISSN 2153-2648, 2019-01, Vol. 10, No. 1
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
This paper discusses the applicability of Visibility Algorithms to detect faults in condition monitoring applications. The general purpose of Visibility Algorithms is to transform time series into graphs and study them through the characterization of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c95987890decb42c6549736b13b403e
http://oa.upm.es/67033/
http://oa.upm.es/67033/
System health diagnosis serves as an underpinning enabler for enhanced safety and optimized maintenance tasks in complex assets. In the past four decades, a wide-range of diagnostic methods have been proposed, focusing either on system or component l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fd1f862141467a0ddfa7acb5f6d9e36
https://dspace.lib.cranfield.ac.uk/handle/1826/15008
https://dspace.lib.cranfield.ac.uk/handle/1826/15008