1 / 21

Time vs. Frequency September 21, 1999 Ron Denton

Time vs. Frequency September 21, 1999 Ron Denton. Time Domain vs. Frequency Domain. 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 ?.

pakuna
Télécharger la présentation

Time vs. Frequency September 21, 1999 Ron Denton

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Time vs. FrequencySeptember 21, 1999Ron Denton

  2. Time Domain vs. Frequency Domain • 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 ?

  3. The Time Domain (for our use) is . . . • A graphical representation of the change of some value with respect to time

  4. How the Time Domain is Measured

  5. The Frequency Domain (for our use) is . . . . • A graphical representation of the amount of energy present in a signal at each of many frequencies

  6. 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.

  7. 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

  8. The Time and Frequency Domains are related by . . . . Amplitude Time Domain Frequency Domain

  9. Sinusoidal Signal Examples

  10. Sinusoidal Signal Examples

  11. Sinusoidal Signal Examples

  12. Sinusoidal Signal Examples

  13. Sinusoidal Signal Examples

  14. Sinusoidal Signal Examples

  15. 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

  16. 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 ?

  17. 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 . . .

  18. 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.

  19. 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. Original Signal Attenuated Signal Spurious Signals Added

  20. The moral of the example ? • Don’t be a square !

  21. Questions ?

More Related