简历
Acácio M. R. Amaral received the E. E. diploma, the M. S. degree and the Ph. D degree from Coimbra’s University, Portugal in 1998, 2005 and 2010, respectively.
Since 1998 has been with Coimbra’s Polytechnic, where is currently an Associate Professor in the Department of Informatics and Systems.
He is the author of five books entitled Circuit and Electronic Devices Analysis (Porto, Portugal, Publindustria, 2013 - in Portuguese), Digital Systems (Lisboa, Portugal, Edições Sílabo, 2014 - in Portuguese), Analog Electronics (Lisboa, Portugal, Edições Sílabo, 2017 - in Portuguese), Digital Electronics (Lisboa, Portugal, Edições Sílabo, 2019 - in Portuguese) and Applied Electronics (Lisboa, Portugal, Edições Sílabo, 2021 - in Portuguese).
He is the author of more than 50 papers published in technical journals and conference proceedings and co-author of a book entitled Diagnosis and Fault Tolerance of Electrical Machines, Power Electronics and Drives, (Stevenage, United Kingdom, Institution of Engineering and Technology, 2018 - in English).
His research activities include fault diagnosis, design and simulation of Power Converters, with emphasis on the consequences of aging of storage devices such as capacitors, super capacitors and batteries, as well as, the development of solutions to this problem.
研究兴趣
Fault diagnosis, DC-DC Converters, Capacitors, Super capacitors, Batteries, Circuit Simulation and Machine Learning

Editor
工作详情
Professor
Polytechnic Institute of Coimbra
Department of Informatics and Systems
Portugal
贡献按题领域
Why Publish with us?
- Global Visibility – Indexed in major databases
- Fast Peer Review – Decision within 14–21 days
- Open Access – Maximize readership and citation
- Multidisciplinary Scope – Biology, Medicine and Engineering
- Editorial Board Excellence – Global experts involved
- University Library Indexing – Via OCLC
- Permanent Archiving – CrossRef DOI
- Affordable APCs with discounts
- High Citation Potential
- Professional Layout & Author Support
现在哪些文章在热门?
研究文章
- Slip Resistance Evaluation of 10 Indoor Floor Surfaces
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- Trend of SO2 Gas Dry Deposition in Vietnam
- Sensor-based Sorting using De-XRT Sensor Applied to a Greenfield Copper Ore Project in Southern Brazil
Advertisement