compute_envelope_spectrum_tool
Compute envelope spectrum of stored vibration signals to detect bearing faults by revealing modulation patterns from defects.
Instructions
Compute envelope spectrum for a stored signal (signal_id pattern).
Use for bearing fault detection. The envelope spectrum reveals
modulation patterns caused by bearing defects.
Args:
signal_id: ID of the stored signal.
filter_low: Bandpass filter low frequency (Hz).
filter_high: Bandpass filter high frequency (Hz).
method: Envelope method (default 'hilbert').
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| signal_id | Yes | ||
| filter_low | No | ||
| filter_high | No | ||
| method | No | hilbert |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| signal_id | Yes | Signal identifier used | |
| num_samples | Yes | Number of samples analyzed | |
| sampling_rate | Yes | Sampling rate (Hz) | |
| method | Yes | Envelope extraction method | |
| frequency_range | Yes | Analysis frequency range (Hz) | |
| top_peaks | Yes | Top peaks in envelope spectrum | |
| diagnosis | Yes | Interpretive diagnosis text |