Transformer Vibroacoustic Harmonic Analysis for Fault Prediction

The patent segments the vibration analysis into multiple independent frequency components (harmonics). Instead of providing a single K-factor value, the system calculates individual harmonic ratios (HR1, HR2, HR3, etc.) for different frequency bands. Each harmonic ratio provides specific information about different types of errors or abnormal conditions in the transformer, enabling identification of error types while maintaining overall health monitoring capability.

The patent extracts and separates the ambient noise component from the transformer vibration signal. By analyzing the vibration spectrum and identifying frequency components that correspond to environmental noise sources, the system isolates these unwanted signals. The harmonic ratio calculations then focus only on the transformer-specific vibration components, eliminating the influence of ambient noise and environmental factors that would otherwise cause false results.

The patent replaces complex mechanical or electronic analysis systems with a computational approach based on signal processing algorithms. The system uses Fast Fourier Transform (FFT) to convert time-domain vibration signals into frequency-domain representations, then applies mathematical calculations to determine harmonic ratios and phase angles. This substitution of computational methods for physical analysis complexity achieves accurate error prediction while maintaining relatively simple hardware requirements.