Intelligent diagnostics of induction motors.

Accurate detection and prediction of failures of line-operated three-phase induction motors is extremely important for many commercial and industrial applications. This work extends previous algorithm developments and provides important new capabilities for robust diagnostics and early fault detection. The whole thesis is inspired by a theoretical research, diagnostic products development and practical in-field diagnostic testing. The topics are divided into three parts. The part one provides a brief analysis of the most prevalent induction motor failures and the root cause of these failures. The survey is focused on small induction motors. This part presents the amount of different degradation factors influencing induction motors in their typical industrial environment and thus clearly shows the necessity of techniques monitoring operating conditions and indicating the actual state of induction motors. The second part provides a summary of contemporary techniques for motor diagnostics. A brief evaluation of these techniques and identification of several trends that will affect future diagnostic systems is also provided. The overview points out that many of the techniques used today vary narrowly in scope, lack robustness, or are costly to install and implement. The part three presents new approaches applicable to motor fault diagnostics.Available from STL Prague, CZ / NTK - National Technical LibrarySIGLECZCzech Republi