Read the record
Pick a synthetic example or load your own CSV. Enter the sampling rate and unit; the record summary appears at once.
Inspect a vibration record with a spectrum, an envelope spectrum and a kurtogram, and mark 1×, 2× and bearing fault frequencies on the chart. The maths runs in your browser; your record is not uploaded.
A short tour from the waveform to the bearing frequencies, and how to read the results.
Narrates how a vibration record moves from the waveform and spectrum to the bearing frequencies in the envelope.
Narration: synthetic voice (Piper, voice “Joe”, CC0 public domain). Captions are burned into the video.
Pick a synthetic example or load your own CSV. Enter the sampling rate and unit; the record summary appears at once.
The waveform, FFT spectrum and spectrogram come together. Running speed and its harmonics are marked on the spectrum.
The envelope spectrum is taken from the most impulsive band. Peaks that match BPFO, BPFI, BSF or FTF are listed as candidates.
Pick a record. All are mathematically generated examples, not real plant data.
Drop a CSV or TXT file here
Pick one numeric column; if there is a time column, the sampling rate can be inferred from it.
The window and FFT length they change.
Example bearing (deep-groove, illustrative): check your bearing’s data sheet and enter your own values.
First 0.25 seconds, mean and trend removed. Drag to zoom.
Each line is a frequency component; its height is the amplitude. Dashed lines are running-speed harmonics; coloured lines are bearing frequencies. Drag to choose the envelope band.
Time left to right, frequency bottom to top; brighter means stronger.
Bright cells are impulsive bands; the brightest one is used for the envelope. Each row has more bands as the level rises.
Impact repetition frequencies. A bearing defect shows a peak at frequencies such as BPFO or BPFI.
Overall velocity RMS (10–1000 Hz). The needle shows the zone against your boundaries.
These are hints, not a diagnosis.
The decision is the engineer’s. For the limits, see the reading note.
f/fr is the ratio to running speed. A match is written when the peak is near a harmonic or bearing frequency.
| # | Hz | Amplitude | Match |
|---|
Nominal values. Enter your catalogue data.
| Component | Hz |
|---|
A CSV or TXT file, or a table pasted as text. You choose one numeric column as the signal. Enter the sampling rate in Hz, or let it be inferred from a time column in seconds or milliseconds. The unit can be g, m/s² or mm/s. At most 16,384 samples are analysed; longer records use their first 16,384 samples.
A rolling-element defect makes a short impact at each contact. The impacts excite a high-frequency structural resonance. The envelope extracts how that resonance’s amplitude changes, so the repetition rate of the impacts, such as BPFO or BPFI, shows directly in the envelope spectrum. It is a way to separate the defect frequency from high-frequency noise.
Overall severity scales use the RMS of vibration velocity, which relates to the energy that causes wear and heating. Bearing defects appear as short impacts at high frequency, which an accelerometer captures better. Spectra derives velocity from acceleration by dividing each component by 2πf.
No. The zones only place the overall velocity value relative to the boundaries you enter. The default boundaries are illustrative and do not represent ISO 20816; enter the limits for your machine class from the standard yourself. A zone does not say what the cause is.
No. The record is processed in your browser by a WebAssembly module written in C. Nothing is sent anywhere, and the record is gone when you close the page. The CSV, JSON and PNG files you export stay with you.
After reading, you can compute frequency resolution for a vibration record, justify your window choice, and read spectral peaks as clues rather than diagnoses, using a worked example.
This article shows how envelope analysis pulls repeating impacts out of a high-frequency vibration band, how to calculate the four defect frequencies, and how to read the result step by step.
After reading, you can set a sampling rate from your analysis band, recognise a false low-frequency peak caused by aliasing, and see why slow PLC or SCADA logs fall short for spectra.
After reading, you can track a machine's broadband vibration against its own baseline and read the ISO 20816 zones in the right context, without treating a zone as a fault diagnosis.
Let’s review your data source, your existing system and the decision you want to improve.