Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Indranil Roychoudhury"'
Publikováno v:
MethodsX, Vol 6, Iss , Pp 383-390 (2019)
Prognostic performance is associated with accurately estimating remaining useful life. Difficulty in accurate prognostic applications can be tackled by processing raw sensor readings into more meaningful and comprehensive health condition indicators
Externí odkaz:
https://doaj.org/article/c8cc4a1a37124a279d5f2058fce32bd0
Publikováno v:
Data in Brief, Vol 21, Iss , Pp 2464-2469 (2018)
In this data article, a reconstructed database, which provides information from PHM08 challenge data set, is presented. The original turbofan engine data were from the Prognostic Center of Excellence (PCoE) of NASA Ames Research Center (Saxena and Go
Externí odkaz:
https://doaj.org/article/194344fd0147418780704892c721ddaa
Autor:
Jose R. Celaya, Christopher Bond, Adam Sweet, Indranil Roychoudhury, Matthew J. Daigle, Sriram Narasimhan, Edward Balaban, George Gorospe
Publikováno v:
International Journal of Prognostics and Health Management, Vol 4, Iss 1, Pp 39-58 (2013)
As fault diagnosis and prognosis systems in aerospace applications become more capable, the ability to utilize information supplied by them becomes increasingly important. While certain types of vehicle health data can be effectively processed and ac
Externí odkaz:
https://doaj.org/article/856dc98372694f60ac62298397c87029
Autor:
Prasham Sheth, Sai Shravani Sistla, Indranil Roychoudhury, Mengdi Gao, Crispin Chatar, Jose Celaya, Priya Mishra
Publikováno v:
Day 2 Wed, March 08, 2023.
By 2026, USD 5.05 billion will be spent per year on logging while drilling (LWD) according to the market report from Fortune Business Insights (2020). Logging tools and wireline tools are costly services for operators to pay for, and the companies pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24b3cdbd23a774806209acd4c25b82a4
https://doi.org/10.2118/212445-ms
https://doi.org/10.2118/212445-ms
Publikováno v:
Day 2 Wed, March 09, 2022.
Stick/slip causes the slowing down or speeding up of the Bottom Hole Assembly (BHA) that occurs when the energy generated by the rotary system on a drilling rig (in the form of surface rotation) fails to reach the drill bit. This condition results in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b801f39101326e3db29eddbfca97f2
https://doi.org/10.2118/208760-ms
https://doi.org/10.2118/208760-ms
Publikováno v:
MethodsX
MethodsX, Vol 6, Iss, Pp 383-390 (2019)
MethodsX, Vol 6, Iss, Pp 383-390 (2019)
Graphical abstract
Highlights • The proposed method can provide a multi regime normalization process for noisy degradation trajectories. • With the neural network library, it is possible to calculate health indicators of different trajectori
Highlights • The proposed method can provide a multi regime normalization process for noisy degradation trajectories. • With the neural network library, it is possible to calculate health indicators of different trajectori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ab888b8329665e0fc68de9f85f6fff3
https://doi.org/10.1016/j.mex.2019.02.015
https://doi.org/10.1016/j.mex.2019.02.015
Publikováno v:
Day 4 Thu, March 11, 2021.
For years, many companies involved with drilling have searched for the ideal method to calculate the state of a drilling rig. While companies cannot agree on a standard definition of "rig state," they can agree that as we move forward in drilling opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a06c0f7e55bed28846151a948046595
https://doi.org/10.2118/204086-ms
https://doi.org/10.2118/204086-ms
The role of prognostics and health management is ever more prevalent with advanced techniques of estimation methods. However, data processing and remaining useful life prediction algorithms are often very different. Some difficulties in accurate pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bed44ef08ac80ec120ab1c8e35eb7622
http://wrap.warwick.ac.uk/110730/1/WRAP-neural-network-filtering-remaining-estimation-Bektas-2018.pdf
http://wrap.warwick.ac.uk/110730/1/WRAP-neural-network-filtering-remaining-estimation-Bektas-2018.pdf
Publikováno v:
2018 AIAA/IEEE Electric Aircraft Technologies Symposium.
The reliability of the propulsion system of an aircraft is paramount for the aircraft safety and hence the aircraft health must be monitored continuously. In contrast to fuel-operated aircraft, electric battery-operated propulsion system poses specif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49974f410f63210cafdc2eb0dded93e7
https://doi.org/10.2514/6.2018-5034
https://doi.org/10.2514/6.2018-5034
Publikováno v:
Neurocomputing
Neurocomputing, Elsevier, 2018, 281, pp.121-138. ⟨10.1016/j.neucom.2017.11.062⟩
Neurocomputing, Elsevier, 2018, 281, pp.121-138. ⟨10.1016/j.neucom.2017.11.062⟩
International audience; The use of Echo State Networks (ESNs) for the prediction of the Remaining Useful Life (RUL) of industrial components, i.e. the time left before the equipment will stop fulfilling its functions, is attractive because of their c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99e2a9cc6615a61b657291e4672fd512
https://hal.archives-ouvertes.fr/hal-01786944
https://hal.archives-ouvertes.fr/hal-01786944