Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Andrew R. Mills"'
Publikováno v:
International Journal of Prognostics and Health Management, Vol 9, Iss 2 (2018)
This paper investigates the problem of condition monitoring of complex dynamic systems, specifically the detection, localisation and quantification of transient faults. A data driven approach is developed for fault detection where the multidimensiona
Externí odkaz:
https://doaj.org/article/7412b82c1a3947c8aa7fe68cf965ce2f
Publikováno v:
ACC
The control of switched linear discrete-time systems occurs in multiple engineering fields, where it has been used to deal with complex and non-linear systems. This letter presents two strategies to design control laws for discrete-time switched line
High-Frequency Voltage Injection Based Stator Interturn Fault Detection in Permanent Magnet Machines
Publikováno v:
IEEE Transactions on Power Electronics. 36:785-794
An interturn short-circuit fault in the stator winding of an electric machine, denoted as turn fault, has been recognized as one of the most severe faults in permanent magnet machines, which require a swift and reliable detection, in order to impleme
Publikováno v:
IEEE Transactions on Industrial Electronics. 68:59-69
Interturn short-circuit fault, also known as turn fault, is a common fault in electric machines, which can cause severe damages if no prompt detection and mitigation are conducted. This article proposes a turn fault detection method for permanent mag
Conventional closed‐form solution to the optimal control problem using optimal control theory is only available under the assumption that there are known system dynamics/models described as differential equations. Without such models, reinforcement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5380414897e7cb167bf037daf612e69a
https://eprints.whiterose.ac.uk/159641/7/acs.3115.pdf
https://eprints.whiterose.ac.uk/159641/7/acs.3115.pdf
Health monitoring and fault detection are becoming more and more important in electrical machine systems due to the increasing demand for reliability. Winding turn fault is a common fault in permanent magnet (PM) machines, which can cause severe dama
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5f8e88e5ad81392d5840a8566e9268f
Purpose This paper proposes new methods of fault detection for fuel systems in order to improve system availability. Novel fault systems are required for environmentally friendly lean burn combustion, but can carry high risk failure modes particularl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::692532de98888ae8aaa782ff9a7f9934
https://eprints.whiterose.ac.uk/142792/1/combustorSensing_AEAT_Journal_preProd.pdf
https://eprints.whiterose.ac.uk/142792/1/combustorSensing_AEAT_Journal_preProd.pdf
Autor:
Bryn Jones, Ian Allan Griffin, Andrew R. Mills, Visakan Kadirkamanathan, Christopher J. Hambley
Publikováno v:
Systems Engineering. 21:417-431
Turbofan oil systems are used to provide lubrication and cooling in the engine . There is an increasing interest in oil system architectures which utilize electric pumps and/or valves to give optimized control of flows to individual oil chambers, lea
Publikováno v:
IEEE Transactions on Industry Applications. 53:2740-2751
Most permanent magnet machines are driven by inverters\ud with pulse width modulation (PWM) voltages. The currents\ud contain high frequency (HF) components which are inversely\ud proportional to machine inductance. The HF PWM ripple\ud currents can
Publikováno v:
ACC
This paper presents an online learning scheme based on reinforcement learning and adaptive dynamic programming for the power management of hybrid electric systems. Current methods for power management are conservative and unable to fully account for