A two-stage strategy for generator rotor angle stability prediction using the adaptive neuro-fuzzy inference system

S Amini, S Ghasemi, I Azadimoshfegh, J Moshtagh… - Electrical …, 2023 - Springer
Generator rotor angle oscillations can be caused by sudden changes in its mechanical
power input or its electrical power output. When dampening or synchronizing torque is …

A novel fast transient stability assessment of power systems using fault-on trajectory

M Shahriyari, H Khoshkhoo… - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
In this article, for fast transient stability status (TSS) prediction, a new scheme is proposed,
which does not require any postfault data and predicts TSS using data measured until the …

A comparative analysis of artificial neural network and support vector machine for online transient stability prediction considering uncertainties

U Shahzad - Australian Journal of Electrical and Electronics …, 2022 - Taylor & Francis
Power system transient stability is an integral part of power system planning and operation.
Conventional approaches to assess transient stability are time consuming and hence, are …

Appraisal of different artificial intelligence techniques for the prediction of marble strength

MS Jan, S Hussain, R e Zahra, MZ Emad, NM Khan… - Sustainability, 2023 - mdpi.com
Rock strength, specifically the uniaxial compressive strength (UCS), is a critical parameter
mostly used in the effective and sustainable design of tunnels and other engineering …

A Deep Learning-Based Approach for Comprehensive Rotor Angle Stability‎ Assessment‎

M Shahriyari, H Khoshkhoo - … of Operation and Automation in Power …, 2022 - joape.uma.ac.ir
Unlike other rotor angle stability assessment methods which only deal with either transient
or small-signal (SS) stability, in this paper, a new stability prediction approach has been …

Adaptive fast Walsh-Hadamard transform for magnetic flux leakage signal of broken wire damage extraction under noise background

S Huang, Z Wang, J Yang, T Gong… - … Testing and Evaluation, 2024 - Taylor & Francis
Steel wire rope usually works in harsh environments, making it prone to damage during
frequent use. Magnetic flux leakage testing is an important way of non-destructive testing …

Relative Assessment of Selected Machine Learning Techniques for Predicting Aerodynamic Coefficients of Airfoil

S Ahmed, K Kamal, TAH Ratlamwala - Iranian Journal of Science and …, 2024 - Springer
In computational fluid dynamics, RANS expressions are solved numerically, as a cheap
replacement for experimental work with an acceptable forecast accuracy compromise …

Fast prediction of angle stability using support vector machine and fault duration data

M Shahriyari, H Khoshkhoo, A Pouryekta… - … on Automatic Control …, 2019 - ieeexplore.ieee.org
This paper deals with the prediction of the transient stability of power systems using only pre-
fault and fault duration data measured by Wide Area Measurement System (WAMS). In the …

Prediction of probabilistic transient stability using support vector machine

U Shahzad - arXiv preprint arXiv:2111.11242, 2021 - arxiv.org
Transient stability assessment is an integral part of dynamic security assessment of power
systems. Traditional methods of transient stability assessment, such as time domain …

Support Vector Machine for Transient Stability Assessment: A Review

U Shahzad - 2024 29th International Conference on Automation …, 2024 - ieeexplore.ieee.org
Accurate transient stability assessment is a crucial prerequisite for proper power system
operation and planning with various operational constraints. Transient stability assessment …