Zobrazeno 1 - 10
of 24
pro vyhledávání: '"David Laredo"'
Publikováno v:
International Journal of Dynamics and Control. 8:1063-1079
Neural networks and deep learning are changing the way that artificial intelligence is being done. Efficiently choosing a suitable network architecture and fine tuning its hyper-parameters for a specific dataset is a time-consuming task given the sta
Publikováno v:
Annals of Operations Research. 279:343-365
Multi-objective optimization problems (MOPs) commonly arise in various applications of engineering and management fields. Many real-world MOPs are mixed-integer multi-objective optimization problems (MMOP), where the solution space consists of real a
Publikováno v:
Laredo, David; Chen, Zhaoyin; Schütze, Oliver; & Sun, Jian-Qiao. (2019). A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems.. Neural networks : the official journal of the International Neural Network Society, 116, 178-187. doi: 10.1016/j.neunet.2019.04.016. UC Merced: Retrieved from: http://www.escholarship.org/uc/item/5d25p602
Neural networks : the official journal of the International Neural Network Society, vol 116
Neural networks : the official journal of the International Neural Network Society, vol 116
This paper presents a framework for estimating the remaining useful life (RUL) of mechanical systems. The framework consists of a multi-layer perceptron and an evolutionary algorithm for optimizing the data-related parameters. The framework makes use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ee3e18eb525ef9cb8ac07f49ef9aa81
http://arxiv.org/abs/1905.05918
http://arxiv.org/abs/1905.05918
Publikováno v:
Springer Series in Reliability Engineering ISBN: 9783319634227
This chapter presents a method for a short-term reliability analysis of power plants consisting of a number combined cycle generating units. A multi-state Markov model represents each generating unit with several states. Using a straightforward Marko
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::874472b259f3933ae0185ff30504ce5a
https://doi.org/10.1007/978-3-319-63423-4_15
https://doi.org/10.1007/978-3-319-63423-4_15
Publikováno v:
2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO).
This paper presents a reliability analysis of a combined cycle gas turbine (CCGT) power plant. A Multi-state Markov model is introduced for a two-shaft CCGT where combustion turbine and steam turbine are coupled to a proper generator. The model is a
Publikováno v:
Reliability Engineering & System Safety. 98:1-6
This paper presents a multi-state Markov model for a coal power generating unit. The paper proposes a technique for the estimation of transition intensities (rates) between the various generating capacity levels of the unit based on field observation
Autor:
David W. Netzer, David Laredo
Publikováno v:
Journal of Quantitative Spectroscopy and Radiative Transfer. 50:511-530
Solid propellant rocket motors can achieve high specific impulse with metal fuel additives such as aluminum. Combustion of aluminum produces condensed alumina particles. Besides causing performance losses in the nozzle, the condensed Al2O3 particles
Publikováno v:
2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel.
Protection systems play a crucial role in power systems. The increasing demand for electric power leads to the complexity of the network and, therefore, to an increasing search for the improvement of the reliability of the high voltage (161 kV and ov
Autor:
Wang, Honggang1 (AUTHOR) hwang@laverne.edu, Laredo, David2 (AUTHOR) dlaredo@computacion.cs.cinvestav.mx, Cuate, Oliver2 (AUTHOR) ocuate@computacion.cs.cinvestav.mx, Schütze, Oliver2 (AUTHOR) schutze@cs.cinvestav.mx
Publikováno v:
Annals of Operations Research. Aug2019, Vol. 279 Issue 1/2, p343-365. 23p.
Publikováno v:
International Journal of Dynamics & Control; Dec2020, Vol. 8 Issue 4, p1063-1079, 17p