Fuzzy and PID controllers performance analysis for a combined-cycle thermal power plant
D Burgasi, T Orrala, J Llanos, D Ortiz-Villalba… - Recent Advances in …, 2021 - Springer
A combined-cycle thermal power plant is one of the conventional generating units with high
performance and the lower greenhouse gas emission produced. In this proposal, a …
performance and the lower greenhouse gas emission produced. In this proposal, a …
A hybrid least square support vector machine for boiler efficiency prediction
X Wu, Z Tang, S Cao - 2017 IEEE 3rd Information Technology …, 2017 - ieeexplore.ieee.org
A hybrid least square support vector machine (LSSVM) is proposed to predict the boiler
combustion efficiency. In this approach, a principal component analysis (PCA) is employed …
combustion efficiency. In this approach, a principal component analysis (PCA) is employed …
[HTML][HTML] Stator winding short circuit fault detection in three-phase Induction Motors using combination type-2 Fuzzy logic and Support Vector Machine classifier …
In this paper, a hybrid model for increasing the precision of the support vector machine
classifier is proposed to detect stator windings short circuit fault detection in induction …
classifier is proposed to detect stator windings short circuit fault detection in induction …
[PDF][PDF] Analysis of the RBF ANN-based classifier for the diagnostics of electronic circuit
B Połok, P Bilski - Acta Imeko, 2018 - repo.pw.edu.pl
The paper presents the application of the Radial Basis Function (RBF) Artificial Neural
Network (ANN) to the diagnostics of analog circuits. Such networks are in most cases useful …
Network (ANN) to the diagnostics of analog circuits. Such networks are in most cases useful …
[PDF][PDF] Optimization of the neural RBF classifier for the diagnostics of electronic circuit
B Połok, P Bilski - 15th IMEKO TC10 Workshop, 2017 - imeko.info
The paper presents the detailed analysis of the Radial Basis Function (RBF) neural network
application for diagnostics of analog systems. In most cases RBF networks are used in the …
application for diagnostics of analog systems. In most cases RBF networks are used in the …
تشخیص خطای اتصال کوتاه داخلی سیم پیچی استاتور در موتورهای القایی سه فاز با استفاده از ترکیب منطق فازی نوع-2 و طبقه بند بردار پشتیبان بهینه شده با الگوریتم …
علی ابراهیمی, احمد حاجی پور… - … Intelligence in Electrical …, 2021 - search.ebscohost.com
In this paper, a hybrid model for increasing the precision of the support vector machine
classifier is proposed to detect stator windings short circuit fault detection in induction …
classifier is proposed to detect stator windings short circuit fault detection in induction …
[HTML][HTML] تشخیص خطای اتصال کوتاه داخلی سیم‌پیچی استاتور در موتورهای القایی سه فاز با استفاده از ترکیب منطق فازی نوع-2 و طبقه‌بند بردار پشتیبان بهینه‌شده با …
ابراهیمی, حاجی پور, احمد, روشن فکر - هوش محاسباتی در مهندسی برق, 2021 - isee.ui.ac.ir
در این مقاله، یک مدل ترکیبی برای افزایـش دقت طبقه‌بند ماشیـن بردار پشتیبانی (SVM) برای
تشخیـص خطای اتصال کوتاه داخلی سیم‌پیچ‌های استاتور موتور القایی پیشنهاد می‌شود. روش …
تشخیـص خطای اتصال کوتاه داخلی سیم‌پیچ‌های استاتور موتور القایی پیشنهاد می‌شود. روش …
Robust fault detection on boiler-turbine unit actuators using dynamic neural networks
A Daneshnia, MB Menhaj… - 2016 4th International …, 2016 - ieeexplore.ieee.org
Due to the important role of the boiler-turbine units in industries, it is important to diagnose
different types of faults in boiler-turbine units. Actuators as the main part of the system can be …
different types of faults in boiler-turbine units. Actuators as the main part of the system can be …