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Rotating machinery diagnostics is the process of identifying the mechanical condition and incipient faults of rotating equipment such as motors, pumps, compressors, turbines, and gearboxes by analyzing vibration, acoustic emission, and process signals acquired from accelerometers, velocity transducers, and proximity probes mounted on the machine bearing housings or shafts ^[1]. The diagnostic procedure relies on the fact that different mechanical faults—including rotor imbalance, shaft misalignment, rolling-element bearing defects, gear tooth damage, blade-passage phenomena, and mechanical rubs—produce characteristic vibration signatures at specific rotational frequencies, harmonics, sidebands, and high-frequency resonance frequencies that can be extracted through fast-Fourier-transform spectral analysis, high-frequency envelope demodulation, and time-synchronous averaging ^[2]. Advanced signal-processing methods such as spectral kurtosis and cyclostationary analysis are used to detect weak, impulsive, and non-stationary fault features buried in background noise, and the diagnosed mechanical condition is used to determine whether scheduled corrective maintenance, component replacement, or continued safe operation is warranted ^[3].