Análisis de vibración

Análisis de orden, promedio en tiempo síncrono, espectro de la envolvente, análisis modal, recuento de flujo de lluvia

Signal Processing Toolbox™ proporciona funciones que permiten estudiar y caracterizar las vibraciones en los sistemas mecánicos. Utilice el análisis de orden para analizar y visualizar el contenido del espectro que se produce en la maquinaria rotativa. Realice un seguimiento y extraiga los órdenes y sus formas de onda en el dominio del tiempo. Estime el espectro medio de una señal en función del orden. Realice un análisis modal experimental mediante la estimación de las funciones de frecuencia-respuesta, las frecuencias naturales, las relaciones de amortiguamiento y las formas modales. Represente los diagramas de estabilización. Elimine el ruido de forma coherente con el promedio en tiempo síncrono y analice el desgaste mediante los espectros de la envolvente. Genere recuentos de flujo de lluvia de alto ciclo para los análisis de fatiga.

Funciones

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Maquinaria rotativa

`envspectrum`	Envelope spectrum for machinery diagnosis
`orderspectrum`	Average spectrum versus order for vibration signal
`ordertrack`	Track and extract order magnitudes from vibration signal
`orderwaveform`	Extract time-domain order waveforms from vibration signal
`rpmfreqmap`	Frequency-RPM map for order analysis
`rpmordermap`	Order-RPM map for order analysis
`rpmtrack`	Track and extract RPM profile from vibration signal
`tachorpm`	Extract RPM signal from tachometer pulses
`tsa`	Time-synchronous signal average

Análisis modal

`modalfit`	Modal parameters from frequency-response functions
`modalfrf`	Frequency-response functions for modal analysis
`modalsd`	Generate stabilization diagram for modal analysis

Análisis de fatiga

rainflow Recuentos de flujo de lluvia para análisis de fatiga

Temas

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.

Ejemplos destacados

Modal Analysis of a Simulated System and a Wind Turbine Blade

Estimate frequency-response functions and modal parameters from experimental data.

Abrir script

Compute and Display Order-RPM Map

Display an order-RPM map as a waterfall plot and using built-in functionality.

Abrir script en vivo

Machine 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.

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Vibration Analysis of Rotating Machinery

Analyze vibration signals from a gearbox using time-synchronous averaging and envelope spectra.

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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.

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Practical Introduction to Shock Waveform and Shock Response Spectrum

Compute shock response spectra of synthetic and measured transient acceleration signals.

Abrir script en vivo

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.

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