THE DEVELOPMENT OF AUTOMATED PATTERN RECOGNITION AND STATISTICAL FEATURE ISOLATION TECHNIQUES FOR THE DIAGNOSIS OF RECIPROCATING MACHINERY FAULTS USING ACOUSTIC EMISSION-Reference-Cited by-同舟云学术

THE DEVELOPMENT OF AUTOMATED PATTERN RECOGNITION AND STATISTICAL FEATURE ISOLATION TECHNIQUES FOR THE DIAGNOSIS OF RECIPROCATING MACHINERY FAULTS USING ACOUSTIC EMISSION

Published:2003-07 Issue:4 Volume:17 Page:805-823
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

EL-GHAMRY M.H.,REUBEN R.L.,STEEL J.A.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference10 articles.

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2. J. D. GILL, E. R. BROWN, M. TWITE, G. HORNER, R. L. REUBEN, J. A. STEEL, 1998, 11th International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management COMADEM 1998, Launceston, Tasmania, 317, 326, Monitoring of a large reciprocating compressor

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