The rising integration of offshore wind energy into the electric grid provides remarkable
opportunities in terms of environmental sustainability and cost efficiency. However, it poses …

The increasing trends toward the accurate identification of power quality disturbances (PQD)
via power quality (PQ) monitoring require an appropriate digital signal processing (DSP) …

Microbe organisms make up approximately 60% of the earth's living matter and the human
body is home to millions of microbe organisms. Microbes are microbial threats to health and …

A method using features computed from voltage by applying Hilbert transform (HT) and
Stockwell transform (ST) for event recognition and power quality (PQ) estimation in …

With the advancement of technology, the demand for high quality and sustainable electrical
energy has been increased due to the widespread use of electrical devices in our daily lives …

Currently, electricity is treated as commodity that should be delivered from a distributor to a
consumer with a certain quality. The power quality is defined by the set of measures with …

The increasing number of new energy sources and power electronic equipment integrated
into the power grid system has resulted in frequent power quality disturbances (PQDs) …

This paper proposes an algorithm based on the Stockwell transform (ST) and Hilbert
transform (HT) to classify complex power quality disturbances (CPQDs). Two indices are …

This paper presents a new automatic detection and classification approach of power quality
(PQ) problems using Kalman filter. Kalman filter is used as an estimator to calculate the …

This paper investigated a multi-variable power quality disturbance identification algorithm
(MPQDIA) applying the Stockwell transform (ST), Hilbert transform (HT) and rule based …