Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and
reliability of electric vehicles (EVs). The EV's power train and energy storage, namely the …

The extreme environmental issues and the resulting need to save energy have turned
attention to the electrification of energy applications. One of the key components involved in …

The significant advantages of permanent magnet synchronous motors, such as very good
dynamic properties, high efficiency and power density, have led to their frequent use in …

In this study, the convolutional neural network (CNN) architecture of deep learning was used
to diagnose a demagnetization fault that occurred in permanent magnet synchronous motors …

Stator winding faults are one of the most common faults of permanent magnet synchronous
motors (PMSMs), and searching for methods to efficiently detect this type of fault and at an …

Permanent magnet synchronous motors (PMSMs) have become one of the most important
components of modern drive systems. Therefore, fault diagnosis and condition monitoring of …

The requisite of direct-on-line (DOL) starting for various applications in underground mines
subjects the rotor bars of heavy-duty squirrel cage induction motors (SCIMs) to severe …

Control rods and elements manage the power distribution in nuclear reactors through the
motion of banks of rods distributed throughout the core. These positional changes are …

The distributed drive autonomous unmanned vehicle (DDAUV) with unknown fault input of
steering system will seriously deviate from the desired path and affect driving safety. This …

An effective remaining useful life (RUL) estimation method is of great concern in industrial
machinery to ensure system reliability and reduce the risk of unexpected failures …