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Vibration analysis

From raw waveform to a reviewable machine hypothesis.

The ConditionCore workflow is designed to accept time waveforms, spectra, enveloped data and trends, retain speed, load and measurement-point context, and test vibration patterns against the rest of the machine evidence.

Review a machine See how it works
Illustrative vibration sensor mounted on a motor bearing housing during inspection.
Illustrative field-practice image. Not site measurement evidence.

Vibration analysis

A spectrum needs the machine state.

Keep the point, axis, acquisition setup, speed and load attached to every waveform and spectrum.

Evidence
Waveform, spectrum and route record
Qualify
Point, axis, setup, speed and load
Can support
Localized mechanical-pattern hypothesis
Visual context only. Assessment uses the customer-supplied record.

Illustrative signal path

Illustrative · not a customer result

See how a feature stays tied to its measurement point.

A raw trace becomes useful evidence only after the acquisition setup, machine speed and component location travel with it.

GBX-2 · input bearing · radial 1,486 rpm · steady load 25.6 kHz · 6.4 s
Raw acceleration waveformAmplitude · g / time · s
Illustrative acceleration time waveformA repeating impact pattern appears within an otherwise lower-amplitude waveform. The pattern is a feature to investigate, not a diagnosis.
Envelope spectrumRelative level / frequency family
Illustrative envelope spectrumPeaks align with a configured outer-race bearing frequency and two harmonics. This alignment supports a hypothesis that still needs corroboration.1×BPFO2× BPFO3× BPFO
Point

GBX-2 input-bearing housing

Feature

Configured ball-pass frequency, outer race (BPFO), and harmonics

Hypothesis

Possible developing outer-race distress

Next check

Confirm setup; corroborate with other evidence

The displayed family is based on a configured bearing geometry. A spectral match alone does not establish fault severity or root cause.

Data in

The context required for comparison.

Vibration patterns generate hypotheses. Confidence depends on acquisition quality, machine configuration and operating context.

  • Time waveform
  • FFT spectrum
  • Envelope or demodulated spectrum
  • Orders and tachometer data
  • Overall values and trends
  • Route and measurement-point metadata

What it can reveal

What the measurement can support.

Unbalance

Running-speed behaviour assessed against direction, location and operating state.

Misalignment

Axial and radial patterns considered with coupling geometry, load and temperature.

Mechanical looseness

Harmonic and impact behaviour tested against mounting and structural transfer.

Resonance

Amplitude and phase change assessed across speed and structural response.

Bearing defects

Configured bearing-frequency families, including ball-pass frequency, outer race (BPFO), and modulation tracked at the measurement point.

Gear-mesh faults

Mesh families, sidebands and load-dependent change related to the gearbox stage.

How ConditionCore uses it

From source data to a qualified observation.

Unbalance, misalignment, looseness, bearing and gear-mesh patterns, kept tied to speed, load and measurement point.

  1. Ingest

    Preserve the raw data, acquisition setup, machine speed and measurement point.

  2. Compare

    Build a like-for-like reference using matched operating conditions.

  3. Localize

    Relate changing frequency families to the component and measurement location.

  4. Correlate

    Test the leading mechanical hypothesis against thermal, ultrasonic and oil evidence.

Common questions

Vibration analysis, in practice.

See the controls required for a trustworthy comparison.

What machine faults can vibration analysis detect?

Vibration analysis can reveal patterns associated with unbalance, misalignment, looseness, resonance, rolling-element bearing defects and gear-mesh faults. Interpretation still depends on the machine, point location and operating state.

Can ConditionCore ingest raw vibration spectra and waveforms?

Yes. Time waveforms, FFT spectra, enveloped or demodulated spectra, orders, overall values and trends can be retained with their acquisition and asset metadata.

Can vibration analysis identify a fault by itself?

Sometimes vibration strongly localizes a hypothesis, but one channel rarely resolves every competing explanation. ConditionCore shows what vibration supports and what still requires corroboration.

Related evidence

First machine review

Start with the machine that is changing.

Share one changing asset and the files you already have. We will confirm what is usable, what remains uncertain and which next check is most valuable.

Request a machine review