Chapter 1. Fault diagnosis of induction motors using motor current signature analysis: a review -- Chapter 2. Fault detection and isolation in power systems using unknown input observer -- Chapter 3. Diagnosis of the broken rotor bars faults by root-MUSIC method -- Chapter 4. Advanced fault diagnosis monitoring scheme in asynchronous motor using soft computing method -- Chapter 5. A mobile augmented reality system for enhancing electrical machine supervision -- Chapter 6. Invasive methods to diagnose stator winding and bearing defects of an induction motors -- Chapter 7. Types of faults and condition monitoring methods of induction motors -- Chapter 8. Vibration monitoring of rotating electrical machines: vibration monitoring -- Chapter 9. A state of art critique review of role of optimization in NDTS for effective condition monitoring -- Chapter 10. Induction machine rotor and stator faults detection by applying the N-F network -- Chapter 11. A state-of-the-art critique review of the role of decision-making techniques in NDT for condition monitoring -- Chapter 12. Identifying parameters for nonlinear degradation-based prognostics: a case study with exponential degradation on induction motors -- Chapter 13. Sensor and its application.