Application
This example shows how to reduce noise level simply and effectively without using Sound Intensity Analysis. Sound source or its distribution can be determined by mapping sound pressure level which is measured by sound level meter (or microphone).
The Sound Intensity Analysis has been generally used to reduce noise level effectively, which needs to presume the position of sound source, obtain amount of radiation from sound source and obtain direction of flowing acoustic energy passing through the measuring surface. Since the Sound Intensity Analysis requires a specific sound intensity probe and exclusive software, on-site measurement and analysis have not been easy to perform.
This example shows the following situation:
Loud noise from a vending machine installed in a conference room makes harmful influence on the working environment in the room. For improvement, sound measurement of the vending machine is performed using the sound level meter and FFT Analyzer to look for the sound source.
The measurement results are shown in graphs by the Microsoft® Excel® spreadsheet software and the OC-1300 series graph creating software.

| Model name | Product name | |
| 1 | CF-3600A | Portable FFT Analyze |
| 2 | LA-5560 | Integrating Sound Level Meter |
| 3 | OC-1300 series | Graph creating software |
- Specify the measurement points in front of the surface of the vending machine (in a reticular pattern at 8(H) x 5 (W), 40 measurement points in total). The clearance of the front surface of the vending machine and the sound level meter is approx. 2 cm, closer as much as possible.
- Input the AC output of the sound level meter to the FFT Analyzer such as the CF-3600A series and perform averaging each point of power spectrum for five seconds.
- As a next step, make a sound pressure contour map for each frequency component using the graph function (contour line) of the Microsoft® Excel® or the OC-1300 series.
For reference, the overall of sound pressure level up to 800 Hz is listed in the right table.
Choose the characteristic frequency component having high pressure level from the power spectrum. As Figure.1 shows, the characteristic frequency components to be focused on are 100, 144, 200, 441, 636 Hz and overall value (up to 800 Hz) in this example.
Then write the sound pressure level of each point as a text file.
The following conditions are set in this example.
·Frequency range: 800 Hz
·Window function: Hanning
Setting the frequency range at 800 Hz means that the frequency at 800 Hz or more do not have any characteristic peak and the level is low.
| 54.74 | 54.04 | 53.90 | 53.90 | 53.10 |
| 55.29 | 55.69 | 55.59 | 55.35 | 54.02 |
| 55.62 | 55.84 | 55.77 | 55.51 | 54.26 |
| 56.55 | 55.50 | 55.50 | 54.91 | 54.62 |
| 55.88 | 56.08 | 55.73 | 55.23 | 53.95 |
| 56.28 | 56.59 | 56.60 | 55.52 | 53.85 |
| 57.37 | 58.21 | 57.33 | 56.03 | 54.23 |
| 58.14 | 57.84 | 57.27 | 55.77 | 53.90 |
(Unit:dB)












• The above contour map of the OC-1300 series is set the transparency level to 40 %.
• The transparency level of contour map can be set from the OC-1300 series Ver. 1.10 or later.
Summary of the main points for successful sound analysis
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