An intelligent fault diagnosis method for lithium-ion battery pack based on empirical mode decomposition and convolutional neural network

Research article (Journal of Energy Storage, 2023) · cited 42× · AI/ML
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An intelligent fault diagnosis method for lithium-ion battery pack based on empirical mode decomposition and convolutional neural network

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An intelligent fault diagnosis method for lithium-ion battery pack based on empirical mode decomposition and convolutional neural network is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An intelligent fault diagnosis method for lithium-ion battery pack based on empirical mode decomposition and convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-intelligent-fault-diagnosis-method-for-lithium-ion-battery-pack-based-on-empirical-mode-decomposition-and-convolution
MLA “An intelligent fault diagnosis method for lithium-ion battery pack based on empirical mode decomposition and convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-intelligent-fault-diagnosis-method-for-lithium-ion-battery-pack-based-on-empirical-mode-decomposition-and-convolution.
BibTeX @misc{4ortxyz_an-intelligent-fault-diagnosis-method-for-lithium-ion-battery-pack-based-on-empirical-mode-decomposition-and-convolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An intelligent fault diagnosis method for lithium-ion battery pack based on empirical mode decomposition and convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/an-intelligent-fault-diagnosis-method-for-lithium-ion-battery-pack-based-on-empirical-mode-decomposition-and-convolution}, note = {Accessed: 2026-05-24}}
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