This study proposes a detection method that incorporates the extension theory with
fractional-order chaotic self-synchronization of dynamic errors in order to analyze ball …

In this study we used a non-autonomous Chua's circuit, and the fractional Lorenz chaos
system. This was combined with the Extension theory detection method to analyze the …

Abstract This proposed Rigorous Investigation of Stator Current (RISC) Envelope, provides a
better way in pre-determining the healthy condition of an induction motor under the effect of …

Generally, rotor mass unbalance is one of the most probable causes of the majority of
degradations suffered by electric drives in an industrial environment (current pum** …

This paper presents a new approach for broken rotor bars detection in induction motors.
When broken rotor bar occurs, the rotor resistance will increase. Furthermore, thermal effects …

Fault diagnosis of electric motors is still a challenging task for researchers. Various rotor
cage faults detection techniques for electric motors have been proposed during the last two …

Motor current signature analysis (MCSA) has been an effective method to monitor electrical
machines for many years, predominantly because of its low instrumentation cost, remote …

This article presents an experimental contribution to detect and diagnose mechanical faults,
including bearing faults, which are the cause of most faults in single or variable speed fan …

Induction motors are the main workhorses of industry. Condition monitoring (CM) of motor
based systems plays an important role in the early detection of possible defects, averting …

This paper discusses the rotor faults diagnosis in induction motors through stator current
analysis based on the estimation of the Power Spectral Density (PSD) using the …