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Using the envelope analysis for roller bearing defect detection. | Using the envelope analysis for roller bearing defect detection. | ||
===Objective:=== | |||
Abnormal vibrations were detected on a speed reducing gear box. We proceed to the diagnostic of the machine. A default in the roller bearing is suspected. An accelerometer is positioned close to the bearing and connected to the OR3X analyzer. | Abnormal vibrations were detected on a speed reducing gear box. We proceed to the diagnostic of the machine. A default in the roller bearing is suspected. An accelerometer is positioned close to the bearing and connected to the OR3X analyzer. | ||
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[[Image:Envelope_01.png|framed|none]] | [[Image:Envelope_01.png|framed|none]] | ||
===Necessary equipment:=== | |||
OROS analyzer with NVgate Software | |||
In this example we are analysing the time signal file recorded with the analyzer. The office mode of NVGate is used. | In this example we are analysing the time signal file recorded with the analyzer. The office mode of NVGate is used. | ||
===Description:=== | |||
The first step consists in the traditional FFT spectrum analysis of the signal in the complete frequency bandwith (0-20 kHz). | The first step consists in the traditional FFT spectrum analysis of the signal in the complete frequency bandwith (0-20 kHz). | ||
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===Step 1: Traditional Spectrum Analysis=== | |||
In a first step, we determinate the spectrum obtained from the accelerometer signal. The signal is considered on a frequency band 0-20 kHz. | In a first step, we determinate the spectrum obtained from the accelerometer signal. The signal is considered on a frequency band 0-20 kHz. | ||
[[Image:Envelope_02.png|framed|none]] | [[Image:Envelope_02.png|framed|none|Figure 1: Spectrum Analysis]] | ||
With the cursor we can detect two resonance domains. The first resonance is detected around 4.3 kHz and the second one around 13.3 kHz. | With the cursor we can detect two resonance domains. The first resonance is detected around 4.3 kHz and the second one around 13.3 kHz. | ||
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===Step 2: Zoom Analysis=== | |||
The traditional approach is to use a zoom analysis around 4.3 and 13.3 kHz in our case. In the NVGate software define the settings of the FFT Zoom by: | The traditional approach is to use a zoom analysis around 4.3 and 13.3 kHz in our case. In the NVGate software define the settings of the FFT Zoom by: | ||
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* defining the center frequency of the zoom at 4.3 kHz in a first time. We can also use the drag and drop action to place the center frequency in the averaged spectrum window. | * defining the center frequency of the zoom at 4.3 kHz in a first time. We can also use the drag and drop action to place the center frequency in the averaged spectrum window. | ||
[[Image:Envelope_03.png|framed|none]] | [[Image:Envelope_03.png|framed|none|Figure 2 - Zoom Analysis Settings]] | ||
Now the Zoomed averaged spectrum window can be displayed (Figure 3). | Now the Zoomed averaged spectrum window can be displayed (Figure 3). | ||
[[Image:Envelope_04.png|framed|none]] | [[Image:Envelope_04.png|framed|none|Figure 3- Zoom Analysis]] | ||
The zoomed spectrum helps us to have a better resolution around the carrier frequency at which the signal is demodulated. For doing this kind of analysis we can use the side band markers. Actually a typical signal spectrum can be noticed as it usually has a central frequency line with lower amplitude side lines, as shown on the figure below: | The zoomed spectrum helps us to have a better resolution around the carrier frequency at which the signal is demodulated. For doing this kind of analysis we can use the side band markers. Actually a typical signal spectrum can be noticed as it usually has a central frequency line with lower amplitude side lines, as shown on the figure below: | ||
[[Image:Envelope_05.gif|framed|none]] | [[Image:Envelope_05.gif|framed|none|Figure 4- Envelope Analysis]] | ||
If we see such a spectrum shape then it means we can start the envelope analysis. | If we see such a spectrum shape then it means we can start the envelope analysis. | ||
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In the NVGate software, we use the side band markers in the Zoomed averaged spectrum window to identify the modulation frequency (Figure 5). | In the NVGate software, we use the side band markers in the Zoomed averaged spectrum window to identify the modulation frequency (Figure 5). | ||
[[Image:Envelope_06.png|framed|none]] | [[Image:Envelope_06.png|framed|none|figure 5: Side band markers in the Zoomed averaged spectrum window around 13.3 kHz]] | ||
We can suspect a modulation frequency of 148.4 Hz which exactly corresponds to the value of the inner bearing race defect frequency provided by the manufacturer of the ball bearing. | We can suspect a modulation frequency of 148.4 Hz which exactly corresponds to the value of the inner bearing race defect frequency provided by the manufacturer of the ball bearing. | ||
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===Step 3: Envelope Analysis=== | |||
The envelope mode is activated by choosing a zoom factor (already done in our example) and checking the box "Envelope" (Figure 6). | The envelope mode is activated by choosing a zoom factor (already done in our example) and checking the box "Envelope" (Figure 6). | ||
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The Envelop trigger and the Envelope spectrum windows can now be displayed (number 4 of the Figure 6). | The Envelop trigger and the Envelope spectrum windows can now be displayed (number 4 of the Figure 6). | ||
[[Image:Envelope_07.png|framed|none]] | [[Image:Envelope_07.png|framed|none|Figure 6- Envelope and Zoom Analysis at 13.3 kHz]] | ||
'' | '''' | ||
Five shocks per revolution are identified in the Envelope trigger window obtained after the signal demodulation (number 4 of the Figure 6). | Five shocks per revolution are identified in the Envelope trigger window obtained after the signal demodulation (number 4 of the Figure 6). | ||
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[[Image:Envelope_08.png|framed|none]] | [[Image:Envelope_08.png|framed|none]] | ||
===Step 4: Analysis of the demodulated signal=== | |||
From the envelope signal window we can also detect the two characteristic frequencies previously found (Figure 8): | From the envelope signal window we can also detect the two characteristic frequencies previously found (Figure 8): | ||
[[Image:Envelope_09.png|framed|none | [[Image:Envelope_09.png|framed|none|Figure 8 – Zoom display on the envelope trigger window]] | ||