Fault severity estimation in rotating mechanical systems using feature based fusion and self-organizing maps

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6353 LNCS, Issue PART 2, 2010, Pages 410-413

  Moshou, Dimitrios ^a   Kateris, Dimitrios ^a   Sawalhi, Nader ^b   Loutridis, Spyridon ^c   Gravalos, Ioannis ^c  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c TECHNOLOGICAL EDUCATIONAL INSTITUTE OF LARISSA   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELERATION SENSORS; DIAGNOSTIC SYSTEMS; FAULT EVOLUTION; FEATURE DATA; FEATURE-BASED; HEALTH TRENDS; HIGH DIMENSIONAL DATA; MACHINE BREAKDOWN; MECHANICAL SYSTEMS; PROCESS DYNAMICS; SYSTEM STATE;

BEARINGS (STRUCTURAL); BIOLOGY; CONFORMAL MAPPING; MACHINERY; ROTATION; TIME SERIES;

SELF ORGANIZING MAPS;

EID: 78049391906     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15822-3_49     Document Type: Conference Paper

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