Enhanced Data Acquisition System of Current Signature for Diagnosis of Variable Speed Induction Motor Drives with Full ADC Range Utilization and Noise Cancellation

The effective and dependable performance of variable-speed induction motor drives is of utmost importance across a wide range of industrial applications. The early identification of prospective issues and declines in system performance is vital for maintaining seamless operations. This paper presents an enhanced data acquisition system designed to capture and analyze the current signature of variable-speed induction motors with a focus on optimizing data quality and diagnostic accuracy. The proposed system employs a comprehensive approach that introduces the Optimized Common Mode Signal Clamping to use single ended Analog-to-Digital Converter (ADC) effectively. Following this, the Auto Gain Adjuster is employed for full ADC range utilization. The Auto Gain Adjuster not only enhances the targeted signal but also magnifies associated noise with it. By utilizing advanced noise cancellation techniques and signal conditioning, the system enhances the accuracy of current signature analysis for motor health diagnosis.