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Competence · Test methods

Five methods. One platform.

Scientifically founded. Series-proven. From noise and material testing via modal test to order and modulation analysis.

01

Noise testing (NVH)

Every sound has a cause. We find it.

NVH stands for Noise, Vibration, Harshness – the scientific assessment of noise and vibration behavior of technical parts. RTE measures airborne and structure-borne sound on motors, transmissions, pumps, actuators and comfort components – o…

→ 02

Acoustic Resonance Testing (ART)

Hear cracks before they break.

Acoustic resonance testing (ART) is a non-destructive testing (NDT) method for economical 100 % inspection in series production – on sintered, cast, forged and ceramic parts. Cracks, voids, microstructure flaws, material mix-ups, sintering …

→ 03

Process monitoring

Hear problems before they happen.

Acoustic process monitoring uses vibration and sound signals to evaluate manufacturing processes in real time. Tool wear, tool break, joining control, friction and lubrication states – those who listen to the process recognize issues before…

→ 04

Modal test & modal analysis

Make natural frequencies visible.

The modal test determines natural frequencies, damping ratios and mode shapes of a structure. In machinery, automotive and aerospace, it is a key tool to ensure the integrity, safety and performance of parts.…

→ 05

Order & modulation analysis

Whatever rotates has an order.

Testing rotating and cyclic machines requires dedicated methods. Order analysis shows how individual components – gears, shafts, pistons, pumps, tyres – contribute to overall vibration and noise.…

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Shared foundation

From signal to decision

Whether noise, material or process – every test task runs through the same three stages. What follows applies to all five methods.

Illustration: a laser beam hits a surface, the returning wave illustrates contactless vibration measurement
01

Measure

It starts with the signal. Piezoelectric accelerometers capture vibration in contact, laser Doppler vibrometry (LDV) does so without touching the part, microphones pick up airborne sound. Sensor choice, measurement direction and measuring point decide whether a result is reproducible – long before any analysis runs.

  • Piezoelectric accelerometers for contact measurement
  • Laser Doppler vibrometry for contactless measurement at hard-to-reach spots
  • Measurement in horizontal, vertical and axial direction at defined points
  • Microphones for airborne sound, accelerometers for structure-borne sound
Diagram: the same signal in the time domain (amplitude over time) and in the frequency domain (amplitude over frequency) with its spectral lines
02

Analyse

Electrical, acoustic and mechanical signals carry more information than a single limit value can express. First, signal processing reduces noise. Spectral analysis breaks the signal into its components, frequency analysis identifies characteristic frequencies, and time-frequency analysis additionally captures when something changes. Pattern recognition finds recurring events, correlation analysis reveals relationships between several signal sources.

  • Noise reduction and filtering of noisy raw signals
  • Spectral and frequency analysis to identify characteristic frequencies
  • Time-frequency analysis of non-stationary processes
  • Pattern recognition of recurring events in the signal
  • Correlation analysis across several signal sources
SonicTC characteristic configuration: result list with OK and NOK verdicts alongside a histogram with normal distribution curve and marked band limits
03

Evaluate

Pass/fail sounds simple – until the limit has to be set. Too tight and good parts fail; too wide and bad ones pass. In SonicTC, specification limits are derived from real measurement series through graphical signal analysis and characteristic configuration, then validated statistically. A stable manufacturing process is the precondition; often the results have to be normally distributed. Whether they are shows up in the visualisation during configuration – not after the first production day.

  • Pass/fail classification against specification limits (OK / NOK)
  • Graphical derivation of limits from real measurement series
  • Statistical validation of the limits that were set
  • Checking the normal distribution assumption during configuration
  • Evidence of a stable manufacturing process as a precondition

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