Suchergebnisse - "quick response code recognition technique"

Cyber–physical microgrid components fault prognosis using electromagnetic sensors

Autoren: Tanushree Agarwal Payam Niknejad Abolfazl Rahimnejad et al.

Quelle: IET Cyber-Physical Systems (2018)

Schlagwörter: artificial intelligence-enabled system, QR codes, real-time lab-based microgrid environment, Computer engineering. Computer hardware, 02 engineering and technology, cyber-physical systems, electrical system, coils, cyber–physical microgrid components fault prognosis, TK7885-7895, distributed power generation, power system protection, magnetic coil antennas, magnetic field measurement, 0202 electrical engineering, electronic engineering, information engineering, power generation faults, quick response code recognition technique, power engineering computing, electromagnetic sensors, QA75.5-76.95, fault diagnosis, nonintrusive electric components fault prognosis, fault detection, electromagnetic devices, neural nets, electric sensing devices, Electronic computers. Computer science, harmonic analysis, stray electromagnetic wave radiation, magnetic sensors, cyber–physical microgrid environment, artificial neural network

Zugangs-URL: https://doaj.org/article/099fe42af1cc434586585701424b909b
https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5043
https://ieeexplore.ieee.org/document/8744718
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cps.2018.5043
https://ieeexplore.ieee.org/abstract/document/8744718
https://dblp.uni-trier.de/db/journals/iet-cps/iet-cps4.html#AgarwalNRBV19
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cps.2018.5043