Fault diagnosis is the key technology to guarantee the reliability and safety of satellite
attitude control systems (ACSs). Although model-based methods have achieved good fault …

The reliable operation of power transmission networks depends on the timely detection and
localization of faults. Fault classification and localization in electricity transmission networks …

A fast and effective fault diagnosis system is crucial for ensuring complex mechanical
equipment's safe and reliable operation. Deep learning has shown promising prospects in …

High-speed traveling wave acquisition devices often use a mutation start algorithm with a
low threshold value, which can collect a large number of interference clutters. If the devices …

The dynamic coupling effect, which is introduced by the dual-sequence phase-locked loops
(PLLs) used in doublyfed induction generator (DFIG) based wind energy generation systems …

The open-phase operation of the AC connection line connecting the wind farm and MMC
generates negative sequence current in the system, which cause the overcurrent …

The partial differential equation (PDE) solution of the telegrapher is a promising fault
location method among time-domain and model-based techniques. Recent research works …

The proposed method involves the fault analysis of the inverter switches present in the multi-
level inverter (MLI) circuitry. The decision tree machine learning algorithm is incorporated for …

Existing fault localization methods for power lines are not applicable to the collector line in
onshore wind farms due to the dense access of complex power supplies. Therefore, a fault …

The aim of this study is to design and magnetic analysis of a grounding transformer in order
to prevent material damage caused by phase-ground faults that may occur in wind energy …