Early detection of combustion instability from hi-speed flame images via deep learning and symbolic time series analysis

Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM

Volumn , Issue , 2015, Pages 353-362

  Sarkar, Soumalya ^a   Lore, Kin G ^b   Sarkar, Soumik ^b   Ramanan, Vikram ^c   Chakravarthy, Satyanarayanan R ^c   Phoha, Shashi ^a   Ray, Asok ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b IOWA STATE UNIVERSITY   (United States)

^c INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMBUSTION CHAMBERS; DEEP NEURAL NETWORKS; ENGINES; GAS TURBINES; HARMONIC ANALYSIS; HEALTH; IMAGE ANALYSIS; IMAGE PROCESSING; SEMANTICS; SYSTEMS ENGINEERING; TIME SERIES ANALYSIS; VORTEX FLOW;

COHERENT VORTEX STRUCTURES; COMBUSTION INSTABILITIES; ENGINE HEALTH MONITORING; GUIDED DATA EXPLORATIONS; HIERARCHICAL APPROACH; PRESSURE OSCILLATION; PROGNOSTICS AND HEALTH MANAGEMENTS; SYMBOLIC TIME SERIES ANALYSIS;

DEEP LEARNING;

EID: 85016118286     PISSN: 23250178     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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