There is an increasing interest in improving energy efficiency and reducing operational costs
of induction motors in the industry. These costs can be significantly reduced, and the …

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

Interturn short-circuit faults are one of the most (if not the most) harmful electrical machine
failures, that if not detected and mitigated at a very incipient stage of development may …

Timely and accurate fault diagnosis plays a critical role in today's smart manufacturing
practices, saving invaluable time and expenditure on maintenance process. To date …

In most industrial applications, it is difficult to obtain complete demagnetization fault signals
of all conditions with labels for permanent magnet synchronous motor (PMSM), and motors …

The study examines the development and testing of algorithms for disturbance inception
time estimation in a power system using instantaneous values of current and voltage with a …

In the blast furnace iron-making process (BFIP), there still has been a significant push to
maintain a stable process and ensure maximum efficiency. Although some control systems …

Using deep learning in three-phase induction motor fault diagnosis has gained increasing
interest nowadays. This paper proposes a Convolutional Neural Network (CNN) model to …

Measurement of abnormal heartbeat rhythm of a fetus to detect arrhythmia using fetal-
electrocardiogram (f-ECG) signals is one of the most convenient methods, used to quickly …

As the most common fault of permanent magnet synchronous motor (PMSM), interturn short-
circuit fault (ISCF) has great harm and develops rapidly. Once it is not diagnosed in time, it …