= model order, N = signal length.
A bearing fault produces a non-stationary impulse train. The STFT (spectrogram) VIs in the toolkit can reveal sidebands around the ball pass frequency that are invisible in a standard power spectrum. 3.2 Wavelet Analysis The toolkit implements both Discrete Wavelet Transform (DWT) and Continuous Wavelet Transform (CWT) with extensive filter bank support. labview advanced signal processing toolkit
Measured on Intel i7-11850H, 32 GB RAM, LabVIEW 2024 64-bit. = model order, N = signal length
| Method | Resolution | Computational Cost | LabVIEW VI Name | |--------|------------|--------------------|------------------| | | High | O(p³) | AR Spectrum.vi | | AR (Burg) | Very high, stable | O(Np) | Burg AR Spectrum.vi | | Maximum Entropy (MEM) | Highest | High | MEM Spectrum.vi | | MUSIC | Super-resolution for sinusoids in noise | Very high (eigen-decomposition) | MUSIC Spectrum.vi | | ESPRIT | Direct frequency estimation (no spectrum) | High | ESPRIT Frequencies.vi | 32 GB RAM