Glossario IA
Il dizionario completo dell'Intelligenza Artificiale
Cepstrum
Mathematical transform of the Fourier transform, used to separate components related to the excitation source from those related to the transmission structure in vibration signals.
Envelope Demodulation
Analysis technique that extracts high-frequency shock signals from their low-frequency carrier to detect bearing and gear defects.
Spectral Kurtosis
Statistical indicator that measures the flatness of the amplitude distribution in each frequency band, sensitive to impulse defects like bearing cracks.
Resonance Frequency
Natural frequency at which a mechanical system oscillates with maximum amplitude when excited, critical for identifying vibration modes and avoiding failures.
Time Waveform
Representation of the vibration signal in the time domain, essential for detecting transient events and non-periodic shocks indicative of defects.
Time Indicators (RMS, Peak, Crest Factor)
Set of statistical metrics calculated on the time signal to quantify overall vibration energy and the presence of shocks, used for trend monitoring.
Order Analysis
Signal processing method that synchronizes vibration data with machine rotation speed to track components related to revolutions per minute.
Acoustic Emission
Passive detection technique for high-frequency acoustic waves generated by energy release during crack propagation or plastic deformations.
Digital Filtering
Application of mathematical algorithms to isolate or remove specific frequency bands in a vibration signal, improving the signal-to-noise ratio for analysis.
Empirical Mode Decomposition (EMD)
Adaptive signal processing method that decomposes a non-linear and non-stationary signal into a set of intrinsic functions for fault analysis.
Modal Vibrations
Analysis of natural frequencies, modal shapes, and damping of a structure to understand its dynamic behavior and identify weak areas.
Wavelets
Mathematical functions used for time-frequency transformation, enabling multi-resolution analysis of vibration signals to detect localized anomalies.
Spectral Envelope Detection
Process combining envelope demodulation and spectral analysis to identify bearing fault frequencies in high-frequency vibration signals.
Vibration Severity Index (SVI)
Composite metric that combines multiple vibration indicators to comprehensively assess machine health status and quantify the severity of a detected fault.