Electrical Signature Analysis (ESA) is a powerful diagnostic tool used to assess the performance and health of induction motors by analyzing voltage and current waveforms. This article, Part 3 of our series, focuses on practical data analysis using ESA, building upon the theoretical foundation established in Parts 1 and 2 we will analyze real motor data to identify characteristic defect frequencies, calculate the noise floor, and present the findings using both linear and dB spectra.
Another attempt at LaTex, so pardon any spelling and related errors. Next Part 4 will involve how to determine alarm values.
