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Analyse vibratoire
Signal Processing Toolbox™ propose des fonctions permettant d’étudier et de caractériser les vibrations des systèmes mécaniques. Utilisez l'analyse d'ordre pour analyser et visualiser le contenu spectral apparaissant dans les machines rotatives. Effectuez le suivi et l'extraction des ordres et de leurs formes d'onde dans le domaine temporel. Estimez le spectre moyen d’un signal en fonction de l’ordre. Effectuez une analyse modale expérimentale en estimant les fonctions de réponse fréquentielle, les fréquences naturelles, les rapports d'amortissement et les formes modales. Tracez des diagrammes de stabilisation. Éliminez le bruit de façon cohérente avec le moyennage synchrone et analysez l’usure avec les spectres d’enveloppes. Générez des comptages Rainflow pour l'analyse de fatigue sur un grand nombre de cycles.
Fonctions
Rubriques
- Order Analysis of a Vibration Signal
Analyze vibrations in rotating machinery using order analysis.
- Rolling Element Bearing Fault Diagnosis (Predictive Maintenance Toolbox)
Perform fault diagnosis of a rolling element bearing based on acceleration signals.
- Modal Analysis of Identified Models
Identify a state-space model of a system and use the model to compute frequency-response functions and modal parameters.
- Modal Analysis of a Flexible Flying Wing Aircraft (System Identification Toolbox)
This example shows computation of bending modes of a flexible wing aircraft.
Sélection d՚exemples
Modal Analysis of a Simulated System and a Wind Turbine Blade
Estimate frequency-response functions and modal parameters from experimental data.
Compute and Display Order-RPM Map
Display an order-RPM map as a waterfall plot and using built-in functionality.
Machine Learning and Deep Learning Classification Using Signal Feature Extraction Objects
Use signal feature extraction objects and AI-based classification to identify faulty bearing signals in mechanical systems.
Vibration Analysis of Rotating Machinery
Analyze vibration signals from a gearbox using time-synchronous averaging and envelope spectra.
Practical Introduction to Fatigue Analysis Using Rainflow Counting
Use rainflow counting to perform fatigue analysis and find the total damage on a mechanical component due to cyclic stress.
Practical Introduction to Shock Waveform and Shock Response Spectrum
Compute shock response spectra of synthetic and measured transient acceleration signals.
Frequency-Response Analysis of MIMO System
Estimate the multi-input/multi-output (MIMO) transfer function for a two-body oscillator. This example starts by computing the system inputs and outputs in the time domain, emulating measurements. After applying the definition of the Z-transform to calculate the frequency-domain transfer function of the system, the example uses the functions tfestimate, modalfrf, and modalfit to estimate the transfer function from the simulated measurement data. The comparison between the outputs of these functions shows how you can retrieve the transfer function from system input/output data.
