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Title: Advanced signal processing of turbine rotor bore waveforms. Final report

Abstract

EPRI Research Project 502-8 was established to investigate advanced signal processing methods as applied to the ultrasonic inspection of turbine rotor bores. The rf waveform responses from near bore defects contain much information which can be used to characterize these flaws. This information is not used in conventional UT systems. The purpose of this effort has been to (1) determine which signal processing operations could be used to enhance the quality and interpretation of rotor bore inspection data, and (2) to investigate advanced methods of characterizing the defects using the rf waveforms to provide the inspector with additional knowledge as to defect type. An outcome of this effort was to develop an Adaptive Learning Network (ALN) model tested using data recorded on the (retired) Kanawha and Connors Creek rotors. Subsequent destructive results showed that the ALN was able to discriminate accurately between inclusions and crack-like flaws in the Kanawha rotor.

Authors:
; ; ;
Publication Date:
Research Org.:
Adaptronics, Inc., McLean, VA (USA)
OSTI Identifier:
5333837
Report Number(s):
EPRI-NP-2203
ON: DE82902202; TRN: 82-013331
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; 20 FOSSIL-FUELED POWER PLANTS; FOSSIL-FUEL POWER PLANTS; STEAM TURBINES; NUCLEAR POWER PLANTS; ULTRASONIC TESTING; DATA PROCESSING; PERFORMANCE; ACOUSTIC TESTING; MACHINERY; MATERIALS TESTING; NONDESTRUCTIVE TESTING; NUCLEAR FACILITIES; POWER PLANTS; PROCESSING; TESTING; THERMAL POWER PLANTS; TURBINES; TURBOMACHINERY; 220200* - Nuclear Reactor Technology- Components & Accessories; 200104 - Fossil-Fueled Power Plants- Components

Citation Formats

Whalen, M.F., Zuralow, M., Barber, J.H., and Mucciardi, A.N.. Advanced signal processing of turbine rotor bore waveforms. Final report. United States: N. p., 1982. Web.
Whalen, M.F., Zuralow, M., Barber, J.H., & Mucciardi, A.N.. Advanced signal processing of turbine rotor bore waveforms. Final report. United States.
Whalen, M.F., Zuralow, M., Barber, J.H., and Mucciardi, A.N.. Fri . "Advanced signal processing of turbine rotor bore waveforms. Final report". United States. doi:.
@article{osti_5333837,
title = {Advanced signal processing of turbine rotor bore waveforms. Final report},
author = {Whalen, M.F. and Zuralow, M. and Barber, J.H. and Mucciardi, A.N.},
abstractNote = {EPRI Research Project 502-8 was established to investigate advanced signal processing methods as applied to the ultrasonic inspection of turbine rotor bores. The rf waveform responses from near bore defects contain much information which can be used to characterize these flaws. This information is not used in conventional UT systems. The purpose of this effort has been to (1) determine which signal processing operations could be used to enhance the quality and interpretation of rotor bore inspection data, and (2) to investigate advanced methods of characterizing the defects using the rf waveforms to provide the inspector with additional knowledge as to defect type. An outcome of this effort was to develop an Adaptive Learning Network (ALN) model tested using data recorded on the (retired) Kanawha and Connors Creek rotors. Subsequent destructive results showed that the ALN was able to discriminate accurately between inclusions and crack-like flaws in the Kanawha rotor.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 1982},
month = {Fri Jan 01 00:00:00 EST 1982}
}

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