Over the years, induction machines (IMs) have become key components in industry
applications as mechanical power sources (working as motors) as well as electrical power …

As a branch of artificial intelligence (AI), expert systems are well-known for interpreting and
deducing solutions to problems based on the rules contained within a knowledge base …

In this paper, a method based on the application of the fuzzy logic technique to diagnose the
fault of broken rotor bars in an induction machine has been proposed. Through the …

Electrical machines are prone to various faults and require constant monitoring to ensure
safe and dependable functioning. A potential fault in electrical machinery results in …

The bidirectional gated recurrent unit (BiGRU) method based on dissolved gas analysis
(DGA) has been studied in the field of power transformer fault diagnosis. However, there are …

Recently, condition monitoring (CM) and fault detection and diagnosis (FDD) techniques for
rotating machinery (RM) have witnessed substantial advancements in recent decades …

The fault prediction and abductive fault diagnosis of three‐phase induction motors are of
great importance for improving their working safety, reliability, and economy; however, it is …

Induction machines (IMs) play a critical role in various industrial processes but are
susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic …

The presented paper scientifically discusses the progressive diagnostics of electrical drives
in robots with sensor support. The AI (artificial intelligence) model proposed by the authors …

Electric powertrain is constituted by electric machine transmission unit, inverter and battery
packs, etc., is a highly-integrated system. Its reliability and safety are not only related to …