Homer, John Patrick
(2003)
ADVANCED SIGNAL PROCESSING TECHNIQUES FOR NOISE SOURCE IDENTIFICATION IN MINING EQUIPMENT.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
This thesis presents the analysis of five measurement techniques used to identify noise sources and transmission paths of a chain conveyor / motor test bed. The measurement techniques are: near-field sound pressure, sound intensity, structural tap testing, coherent power, and enhanced time measurements. Sound pressure is inherently measured with sound intensity, and thus both of these were used to identify noise sources and spectral distributions along the surface of the chain conveyor test bed. Tap tests were used to identify the vibration characteristics of individual system sections and to identify structural resonances that potentially radiate noise. There are two types of coherent power measurements analyzed in this thesis. The first is the Frequency Response Function (FRF) approach, which was used to estimate individual source contributions to a specific receiver. A more sophisticated coherent power method is the Partial Coherence Function (PCF) approach, which is capable of identifying unique contributions of system noise sources. Finally, enhanced time measurements were performed. These measurements are capable of identifying specific events in a repetitive process, since averaging is performed in the time domain. A trigger signal is created from some event in the cyclic process. All of these methods proved to be valuable for identifying noise sources in mining equipment, especially when performing analyses in a less than ideal measurement environment. References will be made about the application of these noise source identification techniques on more complex mining equipment.
Share
| Citation/Export: |
|
| Social Networking: |
|
Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
|
| Date: |
8 May 2003 |
| Date Type: |
Completion |
| Defense Date: |
11 April 2003 |
| Approval Date: |
8 May 2003 |
| Submission Date: |
15 April 2003 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Mechanical Engineering |
| Degree: |
MSME - Master of Science in Mechanical Engineering |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
noise source identification |
| Other ID: |
http://etd.library.pitt.edu:80/ETD/available/etd-04152003-000715/, etd-04152003-000715 |
| Date Deposited: |
10 Nov 2011 19:37 |
| Last Modified: |
15 Nov 2016 13:40 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/7174 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |
![[feed]](/images/feed-icon-32x32.png){kind=icon}