Remaining useful life estimation based on asynchronous multisource monitoring information fusion

DOI10.1155/2017/4139563zbMath1400.93292OpenAlexW2743343142MaRDI QIDQ1794172

Xiaoling Xue, Kaixiang Peng, Shuai Qi, Yanyan Hu

Publication date: 15 October 2018

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/4139563

zbMATH Keywords

Kalman filteringasynchronouslife estimationasynchronous RUL fusion estimationmultisource monitoring

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Reliability, availability, maintenance, inspection in operations research (90B25) Estimation and detection in stochastic control theory (93E10) Observability (93B07)

Cites Work

• Estimation fusion for networked systems with multiple asynchronous sensors and stochastic packet dropouts
• Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis
• Performance Analysis of the Kalman Filter With Mismatched Noise Covariances
• An Edge-Sensing Generic Demosaicing Algorithm With Application to Image Resampling
• Unnamed Item

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