Optimize the Signal Quality of the Composite Health Index via Data Fusion for Degradation Modeling and Prognostic Analysis

IEEE Transactions on Automation Science and Engineering

Volumn 14, Issue 3, 2017, Pages 1504-1514

  Liu, Kaibo ^a   Chehade, Abdallah ^a   Song, Changyue ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Data fusion; degradation modeling; degradation signal; health index; prognostics; signal To noise ratio (SNR)

Indexed keywords

AIRCRAFT ENGINES; DATA FUSION; FIGHTER AIRCRAFT; GAS TURBINES; HEALTH; QUALITY CONTROL; SENSOR DATA FUSION; SYSTEMS ENGINEERING;

AIRCRAFT GAS TURBINE ENGINES; COMPUTING TECHNOLOGY; DEGRADATION BEHAVIOR; DEGRADATION MODEL; DEGRADATION SIGNALS; HEALTH INDICES; MULTIPLE DEGRADATIONS; PROGNOSTICS;

SIGNAL TO NOISE RATIO;

EID: 85027730567     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2015.2446752     Document Type: Article

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