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A Rapid Learning Model based on Selected Frequency Range Spectral Subtraction for the Data-Driven Fault Diagnosis of Manufacturing Systems
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Int. J. Precis. Eng. Manuf.-Smart Tech.. 2023;1(1):49-62. Published online 2023 Jan 1 DOI: https://doi.org/10.57062/ijpem-st.2022.0031
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Data-Driven Methods for Predicting the State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review
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International Journal of Precision Engineering and Manufacturing.2023; 24(7): 1281. CrossRef
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