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Page 1 • Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

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Page 1: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 1 • Time_vs_Freq.ppt 9/21/99

Time vs. FrequencySeptember 21, 1999

Ron Denton

Page 2: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 2 • Time_vs_Freq.ppt 9/21/99

• What is the Time Domain ?

• How is the Time Domain Measured ?

• What is the Frequency Domain ?

• How is the Frequency Domain Measured ?

• What does this have to do with Vibration ?

• How are the two domains related ?

Time Domain vs. Frequency Domain

Page 3: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 3 • Time_vs_Freq.ppt 9/21/99

The Time Domain (for our use) is . . .

• A graphical representation of the change of some value with respect to time

Time moving forward ------>

Va

lue

of

so

me

v

ari

ab

le

Page 4: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 4 • Time_vs_Freq.ppt 9/21/99

How the Time Domain is Measured

Page 5: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 5 • Time_vs_Freq.ppt 9/21/99

The Frequency Domain (for our use) is . . . .

• A graphical representation of the amount of energy present in a signal at each of many frequencies

Frequency increasing ----->

Am

plit

ud

e

Page 6: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 6 • Time_vs_Freq.ppt 9/21/99

The Frequency Domain amplitude is usually measured in RMS or Peak

• The frequency domain values are really just a series of sinusoidal equivalents, so amplitudes are usually represented the same as in the time domain.

• The frequency domain is usually derived by computing a Fast Fourier Transform (FFT) of a time domain signal.

Page 7: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 7 • Time_vs_Freq.ppt 9/21/99

What does this have to do with Vibration ?

• Transducers, such as accelerometers, convert mechanical energy into electrical signals

• The electrical signals are measured with various devices

• Most of these devices record the time data

• The time data is converted to the frequency domain within these devices

• Vibration analysts use the time and frequency domain data to interpret machinery condition

Page 8: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 8 • Time_vs_Freq.ppt 9/21/99

The Time and Frequency Domains are related by . . . .

Time DomainFrequency Domain

Am

plit

ud

e

Page 9: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 9 • Time_vs_Freq.ppt 9/21/99

Sinusoidal Signal ExamplesMultiple Sine Waves

Time

Am

plit

ud

e 1 cycle

2 cycle

4 cycle

8 cycle

Page 10: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 10 • Time_vs_Freq.ppt 9/21/99

Sinusoidal Signal ExamplesComplex

Time

Am

plit

ud

e

Page 11: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 11 • Time_vs_Freq.ppt 9/21/99

Sinusoidal Signal ExamplesComplex Frequency

0

0.2

0.4

0.6

0.8

1

1.2

00.

40.

81.

21.

6 22.

42.

83.

23.

6 44.

44.

85.

25.

6 66.

46.

87.

27.

6 88.

48.

89.

29.

6 10

Frequency

Am

plit

ud

e

Page 12: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 12 • Time_vs_Freq.ppt 9/21/99

Sinusoidal Signal Examples

Page 13: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 13 • Time_vs_Freq.ppt 9/21/99

Sinusoidal Signal Examples"SQUARE" WAVE

Time

Am

plit

ud

e

Page 14: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 14 • Time_vs_Freq.ppt 9/21/99

Sinusoidal Signal Examples

"Square" Wave

Frequency

Am

plit

ud

e

Page 15: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 15 • Time_vs_Freq.ppt 9/21/99

These examples illustrate that . . .

• The time and frequency domains are related

• A sinusoid in the time domain has a unique value in the frequency domain

• Complex combinations of time domain sinusoids can be separated and displayed in the frequency domain

• Signals other than sinusoids can be represented in the frequency domain accurately

Page 16: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 16 • Time_vs_Freq.ppt 9/21/99

A practical example to wrap up

• A customer is using an accelerometer to measure sinusoidal vibration . . . . .

• You receive a phone call . . . . .

• “Your accelerometer is all out of whack! I have a simple signal and your accelerometer is generating all kinds of harmonics.”

• You look around and can’t find an application engineer . . .

• (Panic grips you !) What do you do ?

Page 17: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 17 • Time_vs_Freq.ppt 9/21/99

A practical example to wrap up

• Tell them to check the gain range (amplifier setting) on their equipment !

• Their time domain signal probably looks like this . . .

Page 18: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 18 • Time_vs_Freq.ppt 9/21/99

A practical example to wrap up

If the amplifier range of the measuring system is not set correctly, it will “clip” the signal and “chop off” the highest and lowest parts of the signal.

This is not good !

It means you are trying to turn a sine wave into a square wave.

Page 19: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 19 • Time_vs_Freq.ppt 9/21/99

Clipping Time signals will cause a penalty and cost you data

Just as clipping is illegal in football -in data acquisition, clipping the time data will cost you by causing invalid data (spurious signals) in the frequency spectrum.

Clipped vs. Original

0

0.2

0.4

0.6

0.8

1

1.2

0

0.3

0.6

0.9

1.2

1.5

1.8

2.1

2.4

2.7 3

3.3

3.6

3.9

4.2

4.5

4.8

5.1

5.4

5.7 6

6.3

6.6

6.9

7.2

7.5

7.8

8.1

8.4

8.7 9

9.3

9.6

9.9

Frequency

Am

plit

ud

e

Original SignalAttenuated Signal

Spurious Signals Added

Page 20: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 20 • Time_vs_Freq.ppt 9/21/99

The moral of the example ?

•Don’t be a square !

Page 21: Page 1 Time_vs_Freq.ppt 9/21/99 Time vs. Frequency September 21, 1999 Ron Denton

Page 21 • Time_vs_Freq.ppt 9/21/99

Questions ?