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Record Nr. |
UNINA9910253976603321 |
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Autore |
Boškoski Pavle |
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Titolo |
Fast Electrochemical Impedance Spectroscopy : As a Statistical Condition Monitoring Tool / / by Pavle Boškoski, Andrej Debenjak, Biljana Mileva Boshkoska |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIII, 83 p. 43 illus., 11 illus. in color.) |
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Collana |
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SpringerBriefs in Applied Sciences and Technology, , 2191-530X |
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Disciplina |
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Soggetti |
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Energy storage |
Electrochemistry |
Quality control |
Reliability |
Industrial safety |
Signal processing |
Image processing |
Speech processing systems |
Statistics |
Renewable energy resources |
Energy Storage |
Quality Control, Reliability, Safety and Risk |
Signal, Image and Speech Processing |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Renewable and Green Energy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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1 Introduction -- 2 Fast Electrochemical Impedance Spectroscopy -- 3 Statistical Properties -- 4 Test Cases -- 5 Statistical Condition Monitoring Tool -- 6 Condition Monitoring of PEM Fuel Cells -- 7 Hardware Components for Condition Monitoring of PEM Fuel Cells -- 8 Conclusion -- References -- Listings. |
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Sommario/riassunto |
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This book offers a review of electrochemical impedance spectroscopy (EIS) and its application in online condition monitoring of electrochemical devices, focusing on the practicalities of performing fast and accurate EIS. The first part of the book addresses the theoretical aspects of the fast EIS technique, including stochastic excitation signals, time-frequency signal processing, and statistical analysis of impedance measurements. The second part presents an application of the fast EIS technique for condition monitoring and evaluates the performance of the proposed fast EIS methodology in three different types of electrochemical devices: a Li-ion battery, a Li-S cell, and a polymer electrolyte membrane (PEM) fuel cell. Uniquely, in addition to theoretical aspects the book provides practical guidelines for implementation, commissioning, and exploitation of EIS for condition monitoring of electrochemical devices, making it a valuable resource for practicing engineers as well as researchers. |
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