Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …

It is well known that time-frequency analysis (TFA) characterises signals in time-frequency
plane. Theoretically, traditional non-parameterised TFA can analyze any signal, but it is …

Induction motors are susceptible to many types of faults that can become catastrophic and
cause production stoppages. To predict emerging faults and avoid an unexpected failure, an …

Motors are the higher energy-conversion devices that consume around 40% of the global
electrical generated energy. Induction motors are the most popular motor type due to their …

The measured vibration signals of mechanical equipment with defects are generally non-
stationary. Time–frequency analysis is an effective tool in processing non-stationary signals …

Although induction motors (IMs) are robust and reliable electrical machines, they can suffer
different faults due to usual operating conditions such as abrupt changes in the mechanical …

A methodology for automatic incipient broken rotor bar detection in induction motors (IMs) is
presented. Sparse representations of signals are applied as a diagnosis technique. The …

Time-frequency analysis (TFA) is considered as a useful tool to extract the time-variant
features of the nonstationary signal. In this paper, a new method called demodulated high …

Recently, due to low cost and convenience, the concept of estimating the bridge's first
natural frequency through indirect measurements of a passing vehicle has gained …

The aim of this paper is the broken rotor bars fault detection for a sensorless vector
controlled induction motor drive. The technique of control used is based on the field-oriented …