Zero crossing point detection in a distorted sinusoidal signal using decision tree classifier

V Veeramsetty, P Jadhav, E Ramesh… - Advances in Electrical …, 2023 - advances.vsb.cz
Zero-crossing point detection in a sinusoidal signal is essential in the case of various power
systems and power electronics applications like power system protection and power …

Artificial Intelligence for Fault Diagnosis of Induction Motors in Manufacturing (Monitoring 4.0)

I Ait Mellal, S Lahbabi, K Dahi - International Conference on Advanced …, 2023 - Springer
In many industrial sectors, the proper functioning of the production chain is a major issue to
ensure better competitiveness in the market, so productivity gains are a major concern for …

Fault optimisation on IEEE 14-bus system with machine learning-based SPLIT TCSC

N Agrawal, FA Khan, M Gowda - International Journal of …, 2022 - inderscienceonline.com
All the operations of the power system should be smooth, continuous, reliable, and efficient.
An electric fault interrupts the normal flow of power, damages the electrical equipment …

Artificial Intelligence for Fault Diagnosis of Induction Motors in Manufacturing (Monitoring 4.0)

II Hassan - … Conference on Advanced Intelligent Systems for … - books.google.com
In many industrial sectors, the proper functioning of the production chain is a major issue to
ensure better competitiveness in the market, so productivity gains are a major concern for …

Multi-Sensor Data Fusion with CWT and Transfer Learning for Advanced Bearing Fault Diagnosis in Rotating Machinery

I Makroufa, M Zegraria, K Dahib, I Ouachtoukb - papers.ssrn.com
Intelligent fault diagnosis (IFD) has become crucial in industrial settings, leveraging big
datafrom various sensors and machine learning advancements to monitor critical …