Condition monitoring of induction motors is a fast emerging technology for online detection
of incipient faults. It avoids unexpected failure of a critical system. Approximately 30-40% of …

Nowadays, manufacturing companies are making great efforts to implement an effective
machinery maintenance program, which provides incipient fault detection. The machine …

Motor current signature analysis (MCSA) is the reference method for the diagnosis of
medium-large machines in industrial applications. However, MCSA is still an open research …

The detection of noncatastrophic faults in conjunction with other factors can be used to
determine the remaining life of an electric drive. As the frequency and severity of these faults …

There are several applications where the motor is operating in continuous nonstationary
operating conditions. Actuators and servo motors in the aerospace and transportation …

Dynamic neural models provide an attractive means of fault detection and isolation in
industrial process. One approach is to create a neural model to emulate normal system …

The on-line fault diagnostics technology for induction machines is fast emerging for the
detection of incipient faults as to avoid the unexpected failure. Approximately 30-40% faults …

Inter‐turn fault (ITF) of stator winding is a very sensitive and critical fault in permanent
magnet motors. If this fault is not diagnosed on‐time, it can quickly expand and generate …

Condition monitoring of rotating machines has become a more important strategy in
structural health monitoring (SHM) research. For fault recognition, the analysis is …

In this work, a new on-line method for detecting incipient failures in electrical motors is
proposed. The method is based on monitoring certain statistical parameters estimated from …