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Title: Detector for flow abnormalities in gaseous diffusion plant compressors

Abstract

A detector detects a flow abnormality in a plant compressor which outputs a motor current signal. The detector includes a demodulator/lowpass filter demodulating and filtering the motor current signal producing a demodulated signal, and first, second, third and fourth bandpass filters connected to the demodulator/lowpass filter, and filtering the demodulated signal in accordance with first, second, third and fourth bandpass frequencies generating first, second, third and fourth filtered signals having first, second, third and fourth amplitudes. The detector also includes first, second, third and fourth amplitude detectors connected to the first, second, third and fourth bandpass filters respectively, and detecting the first, second, third and fourth amplitudes, and first and second adders connected to the first and fourth amplitude detectors and the second and third amplitude detectors respectively, and adding the first and fourth amplitudes and the second and third amplitudes respectively generating first and second added signals. Finally, the detector includes a comparator, connected to the first and second adders, and comparing the first and second added signals and detecting the abnormal condition in the plant compressor when the second added signal exceeds the first added signal by a predetermined value. 6 figs.

Inventors:
;
Issue Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
672535
Patent Number(s):
5767780
Application Number:
PAN: 8-551,984; TRN: 99:001066
Assignee:
Lockheed Martin Energy Research Corp., Oak Ridge, TN (United States)
DOE Contract Number:  
AC05-84OR21400
Resource Type:
Patent
Resource Relation:
Other Information: PBD: 16 Jun 1998
Country of Publication:
United States
Language:
English
Subject:
05 NUCLEAR FUELS; GASEOUS DIFFUSION PLANTS; GAS COMPRESSORS; MONITORS; DESIGN; MONITORING; GAS FLOW; ELECTRIC MOTORS; SIGNALS; DATA ANALYSIS

Citation Formats

Smith, S F, and Castleberry, K N. Detector for flow abnormalities in gaseous diffusion plant compressors. United States: N. p., 1998. Web.
Smith, S F, & Castleberry, K N. Detector for flow abnormalities in gaseous diffusion plant compressors. United States.
Smith, S F, and Castleberry, K N. Tue . "Detector for flow abnormalities in gaseous diffusion plant compressors". United States.
@article{osti_672535,
title = {Detector for flow abnormalities in gaseous diffusion plant compressors},
author = {Smith, S F and Castleberry, K N},
abstractNote = {A detector detects a flow abnormality in a plant compressor which outputs a motor current signal. The detector includes a demodulator/lowpass filter demodulating and filtering the motor current signal producing a demodulated signal, and first, second, third and fourth bandpass filters connected to the demodulator/lowpass filter, and filtering the demodulated signal in accordance with first, second, third and fourth bandpass frequencies generating first, second, third and fourth filtered signals having first, second, third and fourth amplitudes. The detector also includes first, second, third and fourth amplitude detectors connected to the first, second, third and fourth bandpass filters respectively, and detecting the first, second, third and fourth amplitudes, and first and second adders connected to the first and fourth amplitude detectors and the second and third amplitude detectors respectively, and adding the first and fourth amplitudes and the second and third amplitudes respectively generating first and second added signals. Finally, the detector includes a comparator, connected to the first and second adders, and comparing the first and second added signals and detecting the abnormal condition in the plant compressor when the second added signal exceeds the first added signal by a predetermined value. 6 figs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {6}
}