Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jingyue Pang"'
Publikováno v:
IEEE Access, Vol 5, Pp 19269-19281 (2017)
In aerospace engineering, condition monitoring is an important reference for evaluating the performance of complex systems. Especially, effective anomaly detection, based on telemetry data, plays an important role for the system health management of
Externí odkaz:
https://doaj.org/article/878a72fe6a2a41e2b3d875c7a7ad1e74
Publikováno v:
Sensors, Vol 19, Iss 3, p 722 (2019)
Telemetry series, generally acquired from sensors, are the only basis for the ground management system to judge the working performance and health status of orbiting spacecraft. In particular, anomalies within telemetry can reflect sensor failure, tr
Externí odkaz:
https://doaj.org/article/2ee9a4292ecc4d0e81ff1452271bb2bf
Publikováno v:
Energies, Vol 11, Iss 6, p 1420 (2018)
The accurate prognostics of lithium-ion battery state of health (SOH) and remaining useful life (RUL) have great significance for reducing the costs of maintenance. The methods based on the physical models cannot perform satisfactorily as the systems
Externí odkaz:
https://doaj.org/article/fc7fa265518841d1b64afd3999ec5745
Publikováno v:
Sensors, Vol 18, Iss 4, p 967 (2018)
Effective anomaly detection of sensing data is essential for identifying potential system failures. Because they require no prior knowledge or accumulated labels, and provide uncertainty presentation, the probability prediction methods (e.g., Gaussia
Externí odkaz:
https://doaj.org/article/80ac645ec2d440a88295c7ad1f0779a1
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 34:3785-3798
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::734e1fc7c64909b86841e2999bd9003d
https://doi.org/10.3233/jifs-169551
https://doi.org/10.3233/jifs-169551
Publikováno v:
Measurement. 95:280-292
Detecting the anomalies timely in the condition monitoring data, which are highly relevant to the potential system faults, has become a research focus in many domains. Among the various detection methods available, the prediction-based algorithms are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::770a820ed69bc872857cf870111b5bd3
https://doi.org/10.1016/j.measurement.2016.10.031
https://doi.org/10.1016/j.measurement.2016.10.031
Publikováno v:
IEEE Access, Vol 5, Pp 19269-19281 (2017)
In aerospace engineering, condition monitoring is an important reference for evaluating the performance of complex systems. Especially, effective anomaly detection, based on telemetry data, plays an important role for the system health management of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b60abbf1747743a56948d27efa4bb36
https://doi.org/10.1109/access.2017.2754447
https://doi.org/10.1109/access.2017.2754447
Publikováno v:
2018 Prognostics and System Health Management Conference (PHM-Chongqing).
Compared with the anomaly detection for univariate series, it is more challenging to detect the anomalies within the multi-sensors timely and effectively, especially in the aerospace area where the multi-sensors have the large-scale and complex relat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eee3ec5fca295af629ff1ef1a5aedd1d
https://doi.org/10.1109/phm-chongqing.2018.00062
https://doi.org/10.1109/phm-chongqing.2018.00062
Publikováno v:
2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC).
Anomaly detection is an essential task enabling condition-based maintenance (CBM), fault diagnostics and system prognostics of complex satellite systems. With the advantages of requiring no labels and strong online detecting performance, some prognos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d317d73e7b8c3869727d762a843afed7
https://doi.org/10.1109/sdpc.2018.8664879
https://doi.org/10.1109/sdpc.2018.8664879
Publikováno v:
2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).
Anomaly detection based on telemetry data can improve the operating safety for spacecrafts. Most of the anomaly detection methods in this domain are based on Euclidean distance for similarity measure of monitoring parameters. However, the Euclidean d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dfa0b001b9b1c82f8e81a7d4deb7476
https://doi.org/10.1109/sdpc.2017.116
https://doi.org/10.1109/sdpc.2017.116