This paper presents a novel approach for detecting static air gap eccentricity in induction motors through the utilization of a straightforward, model-free algorithm. The proposed method involves inductance measurements across the stator phases while the rotor is manually rotated in precise 5-degree increments. This simple yet effective technique minimizes measurement variability and ensures reliable data collection. By averaging measurements from all three stator phases, the method generates a pseudo-sinusoidal waveform that encapsulates the characteristics of the fault. The severity of static air gap eccentricity is quantified as a percentage based on the maximum and minimum values of this waveform, thereby providing a clear and interpretable diagnostic metric. By avoiding complex models, this approach emphasizes simplicity and direct measurements, rendering it highly practical for real-world maintenance and predictive monitoring of induction motor systems. Its robustness, repeatability, and ease of use underscore its potential for on-site applications.