Multiple Sensor Data Fusion for Degradation Modeling and Prognostics under Multiple Operational Conditions

IEEE Transactions on Reliability

Volumn 65, Issue 3, 2016, Pages 1416-1426

  Yan, Hao ^a   Liu, Kaibo ^b   Zhang, Xi ^c   Shi, Jianjun ^a  

^a Georgia Institute of Technology   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c PEKING UNIVERSITY   (China)

Author keywords

Data fusion; multiple operational conditions; multiple sensors; prognostics; Remaining life prediction

Indexed keywords

AIRCRAFT ENGINES; DATA FUSION; GAS TURBINES; HEALTH;

AIRCRAFT GAS TURBINE ENGINES; COMPUTING TECHNOLOGY; DEGRADATION CHARACTERISTICS; DEGRADATION MODEL; FUSION METHODOLOGY; MULTIPLE SENSORS; OPERATIONAL CONDITIONS; PROGNOSTIC ANALYSIS;

SENSOR DATA FUSION;

EID: 84979073071     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2016.2575449     Document Type: Article

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