Related Books

Fault Diagnosis and Failure Prognostics of Lithium-ion Battery Based on Least Squares Support Vector Machine and Memory Particle Filter Framework
Language: en
Pages: 142
Authors: Mohammed Ali Lskaafi
Categories: Failure analysis (Engineering)
Type: BOOK - Published: 2015 - Publisher:

DOWNLOAD EBOOK

A novel data driven approach is developed for fault diagnosis and remaining useful life (RUL) prognostics for lithium-ion batteries using Least Square Support V
A Bayesian Least Squares Support Vector Machines Based Framework for Fault Diagnosis and Failure Prognosis
Language: en
Pages:
Authors: Taimoor Saleem Khawaja
Categories: Algorithms
Type: BOOK - Published: 2010 - Publisher:

DOWNLOAD EBOOK

A high-belief low-overhead Prognostics and Health Management (PHM) system is desired for online real-time monitoring of complex non-linear systems operating in
Fault Diagnosis and Failure Prognostics of Lithium-ion Battery
Language: en
Pages: 148
Authors: Mohammed Lskaafi
Categories:
Type: BOOK - Published: 2016-03-08 - Publisher:

DOWNLOAD EBOOK

Fuzzy Filter-Based State of Energy Estimation for Lithium-Ion Batteries
Language: en
Pages: 141
Authors: Shunli Wang
Categories: Technology & Engineering
Type: BOOK - Published: 2024-03-21 - Publisher: Cambridge Scholars Publishing

DOWNLOAD EBOOK

Awareness of the safety issues of lithium-ion batteries is crucial in the development of new energy technologies, and real-time and high-precision State of Ener
Neural Network-Based State-of-Charge and State-of-Health Estimation
Language: en
Pages: 164
Authors: Qi Huang
Categories: Technology & Engineering
Type: BOOK - Published: 2023-11-16 - Publisher: Cambridge Scholars Publishing

DOWNLOAD EBOOK

To deal with environmental deterioration and energy crises, developing clean and sustainable energy resources has become the strategic goal of the majority of c