In response to the multidisciplinary nature of fault diagnosis and condition monitoring, this text describes different types of faults in electric machines and the techniques employed in their detection. Representing an advance in the condition monitoring and diagnostics literature, this book concentrates on state-of-the-art noninvasive methods that can be utilized on running machines without interfering with their processes. The authors also explain how the availability of inexpensive 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.