A new intelligent fusion method of multi-dimensional sensors and its application to tribo-system fault diagnosis of marine diesel engines

Tribology Letters

Volumn 47, Issue 1, 2012, Pages 1-15

  Li, Zhixiong ^a   Yan, Xinping ^a   Guo, Zhiwei ^a   Liu, Peng ^a   Yuan, Chengqing ^a   Peng, Zhongxiao ^b  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Fault diagnosis; Marine diesel engine; Tribo system; Vibration analysis; Wear debris analysis

Indexed keywords

CRITICAL COMPONENT; DECISION LEVELS; DISTINCTIVE FEATURES; EMPIRICAL MODE DECOMPOSITION; ENGINE CONDITION MONITORING; ENGINE VIBRATION; EXPERIMENTAL TEST; FAULT DETECTION RATE; FAULT DIAGNOSIS TECHNIQUE; FAULT FEATURE; FAULT IDENTIFICATIONS; FEATURE VECTORS; IMMUNE PARTICLE SWARM OPTIMIZATION; INCORPORATING PRIOR KNOWLEDGE; INTEGRATION APPROACH; INTELLIGENT FUSION; MARINE DIESEL ENGINES; MULTI CHANNEL SENSORS; REFERENCE ALGORITHM; SAFETY OPERATIONS; SIMPLIFIED FUZZY ARTMAP; SOURCE SIGNALS; TRIBO-SYSTEM; VIGILANCE PARAMETER; WEAR DEBRIS ANALYSIS; WEAR PARTICLES;

DATA FUSION; FAILURE ANALYSIS; FAULT DETECTION; INDEPENDENT COMPONENT ANALYSIS; SENSORS; SOURCE SEPARATION; TRIBOLOGY; VIBRATION ANALYSIS;

DIESEL ENGINES;

EID: 84860554990     PISSN: 10238883     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11249-012-9948-1     Document Type: Article

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