PQ disturbance detection and classification combining advanced signal processing and machine learning tools

M Shafiullah, MAM Khan, SD Ahmed - Power quality in modern power …, 2021 - Elsevier
This chapter presents a novel approach by combining advanced signal processing (ASP)
and machine learning tools (MLTs) for detecting and classifying power quality disturbances …

[PDF][PDF] A fuzzy supervisory scalar control for matrix converter induction motor drives

MP Jati, E Purwanto, B Sumantri, MR Rusli… - … Journal on Electrical …, 2021 - researchgate.net
The dynamic performance of speed control of an induction motor has been known to be very
sensitive to unavoidable disturbances such as unbalanced input supply and variable load …

Effects of harmonic distortions on the accuracy of energy and power losses measurements in a water treatment industry

N Nayusrizal, I Untari, AA Putra… - 2019 IEEE 2nd …, 2019 - ieeexplore.ieee.org
Harmonic distortions in electric power system are the main power quality concerns, mostly
generated by nonlinear loads such as Variable Frequency Drive (VFD). A water treatment …

Reliability analysis of application of variable frequency drive on condensate pump in nuclear power plant

JK Avor, CK Chang - Journal of International Council on Electrical …, 2019 - Taylor & Francis
The aim of this paper is to analyze the reliability of Variable Frequency Drives (VFD) when
used to control condensate pump motor in a nuclear power plant. IEC 60812 system …

An intelligent approach for power quality events detection and classification

M Shafiullah, MJ Rana, ME Haque… - … and Data Analytics …, 2021 - ieeexplore.ieee.org
This paper proposes an intelligent approach to detect and classify the power quality (PQ)
events with the combination of machine learning and advanced signal processing …