Power Spectral Density Functions of Measured Data

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Presentation transcript:

Power Spectral Density Functions of Measured Data Unit 12 Power Spectral Density Functions of Measured Data

PSD Examples Practice PSD calculations using both measured and synthesized data

Exercise 1 Use the vibrationdata GUI script to synthesize a white noise time history with 1 G standard deviation, 10 second duration, and 1000 samples per second, no lowpass filtering.

Exercise 1 Use vibrationdata GUI script to calculate the power spectral density. Choose 512 samples per segment, which corresponds to 38 dof and f = 1.95 Hz. Select the mean removal and Hanning window options

Exercise 1 Repeat the power spectral density calculation for 128 samples per segment, which corresponds to 156 dof and f = 7.8 Hz.

Note linear-linear format Note linear-linear format. The red curve smoothes the data using a wider delta f with higher statistical dof.

Exercise 2 Octave bands Relationship between two adjacent frequencies is f2 = f1 * 2n Typical n values: 1, 1/3, 1/6, 1/12 The frequency step has a “proportional bandwidth” which increases as the band center frequency increases. Acoustic Sound Pressure Levels (SPL) typically are in one-third octave format. Piano keys have one-twelfth octave spacing.

500 Calculate the PSD of the 10-second white noise time history using only one segment, f = 0.12 Hz, 2 dof. Save PSD.

Convert the PSD to one-sixth octave format via: Select PSD Analysis > Convert to Octave Format Note that the PSD of ideal white noise is a flat, horizontal line.

Exercise 3 Generate pink noise, 10-second duration, std dev=1, Sample Rate = 20000 Hz, No Band Limit Export time history Take PSD with one segment. Calculate one-third octave PSD. Plot from 10 to 10,000 Hz.

The PSD slope is -3 dB/octave

Exercise 4 Taurus auto with accelerometer mounted in console.

Calculate PSD using f=0. 3 Hz processing case Calculate PSD using f=0.3 Hz processing case. Identify the spectral peaks.

Taurus Auto PSD, peaks at 1.5, 14.6, and 29.2 Hz

Half-power Bandwidth Points (-3 dB) f = (1.9 – 0.89) Hz = 1.0 Hz Viscous Damping Ratio = f / (2 f ) = 1.0 / (2*1.5) = 0.33 Auto Spring-Mass Frequency is 1.5 Hz with 33% damping (shock absorbers) 0.89 Hz 1.9 Hz 9.0e-05 G^2/Hz

Automobile Natural Frequencies Vehicle Fundamental Frequency Passenger Car 1 to 1.5 Hz Sports Car 2 to 2.5 Hz Hummer 4.5 Hz

Tire Imbalance Frequency Assume 25 inch tire outer diameter at 65 mph. Circumference =  ( 25 inch ) = 78.5 inch 65 mph = 1144 in/sec ( 1144 in/sec ) / 78.5 in = 14.6 Hz 2X harmonic = 29.1 Hz

Exercise 5 Generate a white noise time history: Duration = 40 sec Std Dev = 1 Sample Rate=10000 Hz Lowpass Filter at 2500 Hz Export Signal: white_40_input_th.txt

Base Input Time History: white_40_input_th

Exercise 5 (cont) Generate the PSD of the 40-second white noise time history Input: white_40_input_th.txt Use case which has f  5 Hz Mean Removal Yes & Hanning Window Plot from 10 to 2000 Hz Export PSD – white_40_input_psd.txt

Base Input PSD: white_40_input_th 2K Base Input PSD: white_40_input_th

Recall SDOF Subjected to Base Input

SDOF Response to White Noise Subjected a SDOF System (fn=400 Hz, Q=10) to the 40-second white noise time history. Input: white_40_input_th.txt Use Vibrationdata GUI option: SDOF Response to Base Input Export Acceleration Response: white_40_response_th.txt

Response Time History: white_40_response_th.txt

SDOF Response to White Noise PSD Take a PSD of the Response Time History Input: white_40_response_th.txt Mean Removal Yes & Hanning Window Use case which has f  5 Hz Plot from 10 to 2000 Hz Export Response PSD: white_40_response_psd.txt

Response PSD: white_40_response_psd.txt 2K Response PSD: white_40_response_psd.txt

Half-power Bandwidth Points (-3 dB) f = (420 – 380) Hz = 40 Hz Viscous Damping Ratio = f / (2 f ) = 40 / (2*400) = 0.05 Q = 1 / ( 2 * 0.05) Q=10 Response PSD: white_40_response_psd.txt

Plot Both PSDs Go to: Miscellaneous Functions > Plot Utilities Select Input > Two Curves Curve 1: white_40_input_psd Color: Red Legend: Input Curve 2: white_40_response_psd Color: Blue Legend: Response Format: log-log X-axis: 10 to 2000 Hz X-label: Frequency (Hz) Y-label: Accel (G^2/Hz)

2K