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Collective Anomalies Detection for Sensing Series of Spacecraft Telemetry with the Fusion of Probability Prediction and Markov Chain Model

Sensors (Basel, Switzerland), 2019-02, Vol.19 (3), p.722

2019

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Optimize the Coverage Probability of Prediction Interval for Anomaly Detection of Sensor-Based Monitoring Series

Sensors (Basel, Switzerland), 2018-03, Vol.18 (4), p.967

2018

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Lithium-Ion Battery Prognostics with Hybrid Gaussian Process Function Regression

Energies (Basel), 2018-06, Vol.11 (6), p.1420

2018

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Fragment Anomaly Detection With Prediction and Statistical Analysis for Satellite Telemetry

IEEE access, 2017-01, Vol.5, p.19269-19281

2017

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Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression

Microelectronics and reliability, 2013-06, Vol.53 (6), p.832-839

2013

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Satellite Power System State Prediction based on Online Learning with Parameter Association Rules

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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Discrete Features Enhancement Based Online Anomaly Detection for Satellite Telemetry Series

IEEE transactions on instrumentation and measurement, 2023, Vol.72, p.1-14

2023

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Temporal dependence Mahalanobis distance for anomaly detection in multivariate spacecraft telemetry series

ISA transactions, 2023-09, Vol.140, p.354-367

2023

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Parameter probabilistic prediction for satellite power system based on unsupervised multi-dimensional sequence segmentation

Aerospace science and technology, 2024-03, Vol.146, p.108933, Article 108933

2024

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Anomaly detection based on uncertainty fusion for univariate monitoring series

Measurement : journal of the International Measurement Confederation, 2017-01, Vol.95, p.280-292

2017

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Intelligent pattern analysis and anomaly detection of satellite telemetry series with improved time series representation

Journal of intelligent & fuzzy systems, 2018-01, Vol.34 (6), p.3785-3798

2018

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Data-driven prognostics for lithium-ion battery based on Gaussian Process Regression

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing), 2012, p.1-5

2012

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Anomaly Detection for Satellite Telemetry Series with Prediction Interval Optimization

2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC), 2018, p.408-414

2018

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Anomaly detection based on data stream monitoring and prediction with improved Gaussian process regression algorithm

2014 International Conference on Prognostics and Health Management, 2014, p.1-7

2014

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Unmanned Aerial Vehicle Sensing Data Anomaly Detection by Relevance Vector Machine

2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), 2017, p.638-641

2017

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Satellite telemetry time series clustering with improved key points series segmentation

2017 Prognostics and System Health Management Conference (PHM-Harbin), 2017, p.1-7

2017

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Satellite Telemetry Data Anomaly Detection with Hybrid Similarity Measures

2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), 2017, p.591-596

2017

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Weighted bagging gaussion process regression to predict remaining useful life of electro-mechanical actuator

2016 Prognostics and System Health Management Conference (PHM-Chengdu), 2016, p.1-6

2016

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Detecting continual anomalies in monitoring data stream based on sampling GPR algorithm

2015 IEEE Conference on Prognostics and Health Management (PHM), 2015, p.1-7

2015

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Anomaly Detection for Multivariate Telemetry Series of Satellite with Improved HVAE

2023 IEEE 16th International Conference on Electronic Measurement & Instruments (ICEMI), 2023, p.309-314

2023

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Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression : ADVANCES IN BATTERY RELIABILITY

Microelectronics and reliability, 2013, Vol.53 (6), p.832-839

2013

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Data-driven framework for lithium-ion battery remaining useful life estimation based on improved nonlinear degradation factor

2013 IEEE 11th International Conference on Electronic Measurement & Instruments, 2013, Vol.2, p.1014-1020

2013

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High performance relevance vector machine on HMPSoC

2014 International Conference on Field-Programmable Technology (FPT), 2014, p.334-337

2014

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Satellite Power System Anomaly Detection based on Spatio-Temporal Uncertainty Fusion

2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), 2023, p.1-5

2023

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Multiple-Output-Gaussian-Process Regression-Based Anomaly Detection for Multivariate Monitoring Series

2018 Prognostics and System Health Management Conference (PHM-Chongqing), 2018, p.326-332

2018

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Collective Anomalies Detection for Sensing Series of Spacecraft Telemetry with the Fusion of Probability Prediction and Markov Chain Model

Optimize the Coverage Probability of Prediction Interval for Anomaly Detection of Sensor-Based Monitoring Series

Lithium-Ion Battery Prognostics with Hybrid Gaussian Process Function Regression

Fragment Anomaly Detection With Prediction and Statistical Analysis for Satellite Telemetry

Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression

Satellite Power System State Prediction based on Online Learning with Parameter Association Rules

Discrete Features Enhancement Based Online Anomaly Detection for Satellite Telemetry Series

Temporal dependence Mahalanobis distance for anomaly detection in multivariate spacecraft telemetry series

Parameter probabilistic prediction for satellite power system based on unsupervised multi-dimensional sequence segmentation

Anomaly detection based on uncertainty fusion for univariate monitoring series

Intelligent pattern analysis and anomaly detection of satellite telemetry series with improved time series representation

Data-driven prognostics for lithium-ion battery based on Gaussian Process Regression

Anomaly Detection for Satellite Telemetry Series with Prediction Interval Optimization

Anomaly detection based on data stream monitoring and prediction with improved Gaussian process regression algorithm

Unmanned Aerial Vehicle Sensing Data Anomaly Detection by Relevance Vector Machine

Satellite telemetry time series clustering with improved key points series segmentation

Satellite Telemetry Data Anomaly Detection with Hybrid Similarity Measures

Weighted bagging gaussion process regression to predict remaining useful life of electro-mechanical actuator

Detecting continual anomalies in monitoring data stream based on sampling GPR algorithm

Anomaly Detection for Multivariate Telemetry Series of Satellite with Improved HVAE

Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression : ADVANCES IN BATTERY RELIABILITY

Data-driven framework for lithium-ion battery remaining useful life estimation based on improved nonlinear degradation factor

High performance relevance vector machine on HMPSoC

Satellite Power System Anomaly Detection based on Spatio-Temporal Uncertainty Fusion

Multiple-Output-Gaussian-Process Regression-Based Anomaly Detection for Multivariate Monitoring Series

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