Signal Analysis: Projects
The detailed analysis of the available measuring data is often the key point in finding a solution to vibration concerns. For the signal analysis of vibration data - time-dependent and time-independent - we use methods like:
![Teaser Signalanalyse](https://www.ismb.de/data/media/3/Teaser_Signalanalyse-1050.png)
- spectral analysis: auto spectra, transfer functions, phase relation, coherence functions
- waterfall diagrams and sonograms in order to analyze the time-development or the speed-dependence of spectra
- order analysis, Campbell diagrams, order functions, Vold-Kalman filtering and re-sampling
- wavelet analysis
- deriving the speed from analogue or TTL signals; alternatively: use suitable vibration signals to extract the rotation speed-profile
- envelope analysis, Hilbert transformation
- cepstrum analysis
- displaying operating deflection shapes (ODS) for trace line models
- expanding measured shapes to FEA models
- low-pass, high-pass or band-pass filtering of measurement data
- orbit analysis of vibrating rotor systems
We also analyze non-stationary and strongly transient events such as gear changes or shock events.
![Mobilkran 2](https://www.ismb.de/data/media/1/Mobilkran_2-875.png)
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![Glaspolieren 3](https://www.ismb.de/data/media/1/Glaspolieren_3-1069.png)
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![AES 2 englisch](https://www.ismb.de/data/media/2/AES_2_englisch-1200.png)
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![Tellerdruckfiler 1](https://www.ismb.de/data/media/1/Tellerdruckfiler_1-1053.jpg)
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![Humanschwingungen Motorsaege 1](https://www.ismb.de/data/media/2/Humanschwingungen_Motorsaege_1-1057.png)
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![NKW Fahrkomfort 1](https://www.ismb.de/data/media/2/NKW_Fahrkomfort_1-1070.png)
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![Messdatenanalyse 1](https://www.ismb.de/data/media/3/Messdatenanalyse_1-1075.png)
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