Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chrissanthi Angeli"'
Publikováno v:
IEEE Access, Vol 10, Pp 40818-40828 (2022)
To improve the performance, robustness and stability of autotuning the proportional integral and derivative (PID) parameter, the novel stable particle swarm optimization (NSPSO) is proposed in this paper. The NSPSO is the combination of the particle
Externí odkaz:
https://doaj.org/article/3a1edbaac37340feb2ea286c68e6545d
Publikováno v:
ISA Transactions.
Publikováno v:
International Journal of Control, Automation and Systems. 19:392-403
In this paper, an adaptive swarm learning process (SLP) algorithm for designing the optimal proportional integral and derivative (PID) parameter for a multiple-input multiple-output (MIMO) control system is proposed. The SLP algorithm is proposed to
Autor:
Chrissanthi Angeli
Publikováno v:
Expert Systems. 25:115-132
It is generally accepted that there has been an increasing interest in online fault detection and diagnosis techniques for technical processes during the last few years. These techniques come from the artificial intelligence field or are classical nu
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 12:111-115
The development of on line model-based fault detection systems in machinery improves the operational reliability of industrial systems and reduces the operational and maintenance costs. In this direction, this paper presents the use of modelling info
Publikováno v:
Expert Systems. 19:285-294
A model–based engineering diagnostic method is typically based on the evaluation of the residuals generated from a comparison of important variable values from a simulated system and the corresponding measured values from the system’s performance
Autor:
Derek P. Atherton, Chrissanthi Angeli
Publikováno v:
Expert Systems. 18:150-158
Fault diagnosis is very important for modern production technology and has received increasing theoretical and practical attention during the last few years. This paper presents a model-based diagnostic method for industrial systems. An online, real-
Publikováno v:
Applied Simulation and Modelling.