Electric Machines

 In the recent past, digital signal processing techniques, artificial neural networks (ANN), and fuzzy or neuro-fuzzy systems have been used extensively for speed, torque estimation, and solid state drive control of DC and AC machines. Thus the field of fault diagnosis and condition monitoring has become multidisciplinary. This text describes different types of faults in electronic machines, as well as the various techniques employed in their detection. It concentrates mainly on state-of-the-art non-invasive methods that can be utilized for running machines without interfering with or interrupting their processes. The authors also explain how the availability of cheap yet powerful processing powers using digital signal processors makes it possible to seamlessly integrate the task of condition monitoring and fault diagnosis with machine control algorithms.