Akses terbuka Jurnal SINTA 1
Reduction of transients in switches using embedded machine learning
International Journal of Power Electronics and Drive Systems · Vol. 11 No. 1 (2020) · hlm. 235–241
- ISSN
- 2722-256X, 2088-8694
- Terbit
- 2020-03-01
- Penerbit
- Institute of Advanced Engineering and Science
- Bahasa
- eng
Abstrak
Non-linear loads can cause transients in electronic switches. They also result in a fluctuating output when the device is switched ON or OFF. These transients can harm not only the switches but also the devices that they are connected to, by passing excess currents or voltages to the devices. By applying machine learning, we can improve the gate drive voltages of the switches and thereby reduce switch transients. A feedback system is built that measures the output transients and then feeds it to a neural network algorithm that then gives a proper gate drive to the device. This will reduce transients and also improve performances of switch based devices like inverters and converters.
Jaringan kolaborasi para penulis
40 penulis · 134 tautan kepenulisan bersama · 21 lintas organisasi · menampilkan 40 yang paling banyak terhubung
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- SRM Institute of Science and Technology
- SRM University
- National University of Singapore
- Nanyang Technological University
- Bayero University Kano
- St. Joseph's Institute of Technology
- Sona College of Technology
- Afiliasi tidak diketahui
- Organisasi berbeda
- Organisasi sama
- Afiliasi tidak diketahui
- Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| R. Palanisamy | SRM Institute of Science and Technology | 22 |
| K. Selvakumar | SRM Institute of Science and Technology | 13 |
| D. Karthikeyan | SRM Institute of Science and Technology | 13 |
| D. Selvabharathi | SRM Institute of Science and Technology | 9 |
| D. Sattianadan | SRM Institute of Science and Technology | 4 |
| V. Kalyanasundhram | SRM Institute of Science and Technology | 3 |
| Ramiah Jegatheesan | SRM Institute of Science and Technology | 2 |
| G. R. Prudhvi Kumar | SRM Institute of Science and Technology | 2 |
| R. Sridhar | SRM Institute of Science and Technology | 2 |
| A. Velu | Afiliasi tidak diketahui | 1 |
| V. Venkatachalam | SRM Institute of Science and Technology | 1 |
| R. Mano Narayanan | SRM Institute of Science and Technology | 1 |
| D. Saravanakumar | SRM Institute of Science and Technology | 1 |
| K. Saravanan | SRM Institute of Science and Technology | 1 |
| C. S. Boopathi | SRM Institute of Science and Technology | 1 |
| T. M. Thamizh Thentral | SRM Institute of Science and Technology | 1 |
| Ganesan Ranipriya | SRM Institute of Science and Technology | 1 |
| Abdulhamid Usman Mutawakkil | Bayero University Kano | 1 |
| D. Kirubakaran | St. Joseph's Institute of Technology | 1 |
| V. P. Arumbu | SRM Institute of Science and Technology | 1 |
| P. Divya | SRM Institute of Science and Technology | 1 |
| K. Mani Rahulan | SRM Institute of Science and Technology | 1 |
| V. Sinmayee | SRM Institute of Science and Technology | 1 |
| K. Karthik | SRM University | 1 |
| Mohan Arun Noyal Doss | SRM University | 1 |
| K. Mohanraj | SRM University | 1 |
| Mayukh Bagchi | SRM Institute of Science and Technology | 1 |
| Avijit Bhattacharya | SRM Institute of Science and Technology | 1 |
| Sayon Koley | SRM Institute of Science and Technology | 1 |
| Soumen Gorai | Sona College of Technology | 1 |
| V. Shanmugasundaram | SRM Institute of Science and Technology | 1 |
| V. Kubendran | SRM Institute of Science and Technology | 1 |
| Aishwarya Bagchi | Afiliasi tidak diketahui | 1 |
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