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Homer, John Patrick (2003) ADVANCED SIGNAL PROCESSING TECHNIQUES FOR NOISE SOURCE IDENTIFICATION IN MINING EQUIPMENT. Master's Thesis, University of Pittsburgh. (Unpublished)

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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.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Homer, John
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairVipperman, Jeffrey Sjsv@pitt.eduJSV
Committee MemberOnipede,
Committee MemberClark, William Wwclark@engr.pitt.eduWCLARK
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:, etd-04152003-000715
Date Deposited: 10 Nov 2011 19:37
Last Modified: 15 Nov 2016 13:40


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