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Fault detection and failure assessment of lithium-ion battery through AC impedance spectroscopy and machine learning : a thesis report

By: Vyas, Mayank (2016REN9058)Contributor(s): Pareek, Kapil [Supvr.]Material type: TextTextPublication details: Jaipur Centre for Energy and Environment, MNIT 2021 Description: ix,209p. +1 CDSubject(s): Energy and Environment | Fault detection and failure assessmentDDC classification: 628
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Holdings
Item type Current library Call number Status Date due Barcode
Thesis Thesis Malaviya National Institute of Technology
Reference
628 (Browse shelf(Opens below)) Not for loan TH00648

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