The ability to adjust various dynamic properties is facilitated by utilizing vector control methods. In vector control, selecting the appropriate parameters significantly influences not only dynamic parameters but also the ability to detect potential faults in the drive system, considering that the control structure tends to compensate for faults. This study focuses on a comprehensive analysis of the impact of current controller parameters in field-oriented control on fault detection. The main analysis was conducted regarding the identification and characterisation of potential faults in permanent magnet synchronous motors, including demagnetization and short circuits, which affect machine operation parameters. The presented research includes an assessment of the controller's bandwidth on the harmonic content present in control signals. This analysis sheds light on the complex relationship between controller parameters and sensitivity to fault detection. The proposed methods and solutions were analyzed both through simulation in co-simulation processes and experimental validation. This research confirms the importance of the proposed fault detection indicators in improving the reliability and effectiveness of fault detection mechanisms in drive systems with permanent magnet motors. The results emphasize the crucial role of current controller parameters in field-oriented control in providing accurate fault detection information. This information can be used as an important resource for teaching neural networks to implement automatic fault detection structures.