Zobrazeno 1 - 10
of 39 585
pro vyhledávání: '"Fault detection and isolation"'
Publikováno v:
International Journal of Prognostics and Health Management, Vol 15, Iss 2 (2024)
The identification of railway vehicle components’ characteristics from measured data is a challenging task with compelling applications in health monitoring, fault detection, and system prognosis. Usually, though, such systems are highly nonlinear,
Externí odkaz:
https://doaj.org/article/81fddbb55806431db543a85cc25cfad2
Autor:
Ali Fazli, Javad Poshtan
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 3, Pp 1174-1186 (2024)
Abstract Due to the difficulties of system modeling, nonlinearity effects, uncertainties, and the availability of Wind Turbines (WTs) SCADA system data, data‐driven Fault Detection and Isolation (FDI) methods for WTs have received increasing attent
Externí odkaz:
https://doaj.org/article/d105d5f23ee143ddb9e32f61173ea052
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 13, Iss 5, p 64 (2024)
The optimal functionality and dependability of mechanical systems are important for the sustained productivity and operational reliability of industrial machinery, and have a direct impact on its longevity and profitability. Therefore, the failure of
Externí odkaz:
https://doaj.org/article/46cfd94e314b49029b84fc18c015a826
Autor:
Dulce A. Serrano-Cruz, Latifa Boutat-Baddas, Mohamed Darouach, Carlos M. Astorga-Zaragoza, Gerardo V. Guerrero Ramírez
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 4, p 57 (2024)
This paper presents a mathematical model of the cardiovascular system (CVS) designed to simulate both normal and pathological conditions within the systemic circulation. The model introduces a novel representation of the CVS through a change of coord
Externí odkaz:
https://doaj.org/article/96ee5cff2f0f4e85a6ee0d5099876038
Publikováno v:
Actuators, Vol 13, Iss 7, p 253 (2024)
Synchronizing a network of robots in consensus is an important task for cooperative work. Detecting faults in a network of robots in consensus is a much more important task. In considering a formation of Wheeled Mobile Robots (WMRs) in a master–sla
Externí odkaz:
https://doaj.org/article/e65581bdaa104019b5ceb042115d5c33
Publikováno v:
Satellite Navigation, Vol 4, Iss 1, Pp 1-17 (2023)
Abstract For the integrity monitoring of a multi-source PNT (Positioning, Navigation, and Timing) resilient fusion navigation system, a theoretical framework of multi-level autonomous integrity monitoring is proposed. According to the mode of multi-s
Externí odkaz:
https://doaj.org/article/09e206c203fc49c9a62cf6879080a53b
Publikováno v:
Heliyon, Vol 9, Iss 12, Pp e22722- (2023)
Energy and exergy interactions in industrial systems hold meaning across physical domains. This paper builds on the notion that capturing the energy and exergy interactions of a system, while retaining physical structural context, enables fault detec
Externí odkaz:
https://doaj.org/article/782d43dc0cc641bda1007f5fa2aa2347
Publikováno v:
IEEE Open Journal of Control Systems, Vol 2, Pp 410-424 (2023)
This article addresses the problem of data-driven model discrimination for unknown switched systems with unknown linear temporal logic (LTL) specifications, representing tasks, that govern their mode sequences, where only sampled data of the unknown
Externí odkaz:
https://doaj.org/article/639475d296214bf2a7000821b6890457
Autor:
Faizan E. Mustafa, Abdul Qayyum Khan, Abdus Samee, Ijaz Ahmed, Muhammad Abid, Mohammad M. Alqahtani, Muhammad Khalid
Publikováno v:
IEEE Access, Vol 11, Pp 104373-104391 (2023)
Industrial processes are nonlinear and complicated in nature, requiring accurate fault detection to minimize the deterioration in performance and to respond quickly to emergencies. This work investigates industrial process defect identification and i
Externí odkaz:
https://doaj.org/article/6e094000409a4531ba5f3218a2c3f04c
Publikováno v:
Serbian Journal of Electrical Engineering, Vol 20, Iss 1, Pp 93-105 (2023)
A major concern in many electrical drives is the reliability of sensors and actuators. In the paper, the usage of the Drools expert system (ES) for Fault detection and isolation (FDI) of the additive actuator and sensor DC Motor faults using the S
Externí odkaz:
https://doaj.org/article/a7a188a1aaee4da3b2bb93a3738e12a3