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Fault detection and safety risk evaluation of lithium-ion batteries based on confidence interval of Gaussian process regression for real-world application

Jinwen Li, Yunhong Che, Kai Zhang, Jia Guo, Hongao Liu, Yi Zhuang, Congzhi Liu, Xiaosong Hu, Remus Teodorescu, Remus Teodorescu

2025Mechanical Systems and Signal Processing15 citationsDOI

Topics & Concepts

Confidence intervalLithium (medication)Gaussian processInterval (graph theory)KrigingProcess (computing)Reliability engineeringGaussianFault detection and isolationRegressionIonFault (geology)Computer scienceEngineeringStatisticsArtificial intelligenceMathematicsPhysicsMedicineInternal medicineActuatorQuantum mechanicsCombinatoricsGeologySeismologyOperating systemAdvanced Battery Technologies ResearchReliability and Maintenance OptimizationAdvancements in Battery Materials
Fault detection and safety risk evaluation of lithium-ion batteries based on confidence interval of Gaussian process regression for real-world application | Litcius