Signals

Signal Analytics

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Signal Analytics guide

Use Signal Analytics to calculate engineering metrics on persisted samples for selected signals.

What it provides

  • Summary statistics, histograms, peaks, outlier hints, sample-rate estimation, rolling summaries, and FFT preview.
  • Correlation matrix for selected signals.
  • A structured analytics result that can feed rules, reports, and AI-safe summaries.

How to use it

  1. 1. Select signals to calculate histograms, peaks, sample rate, correlation, FFT preview, and signal quality metrics.
  2. 2. Select the project, processed log, and one or more signals.
  3. 3. Choose the analyses needed for the engineering question.
  4. 4. Run analytics and inspect quality metrics before creating rules or report evidence.

Outcome: Signals are converted into quantitative engineering evidence without exporting raw logs.

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Signals

No processed signals available.

Select signals and run analytics to calculate statistics, histograms, peaks, sample-rate estimates, FFT preview, and correlation.