Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm
These days, fog computing is an emerging paradigm that offers ubiquitous and omnipresent
latency-aware services to delay applications. However, due to the mobility features of …
latency-aware services to delay applications. However, due to the mobility features of …
Discrete terminal super-twisting current control of a six-phase induction motor
In this manuscript, the high-accuracy stator currents tracking issue is considered for a six-
phase induction motor subject to external perturbations and uncertainties due to …
phase induction motor subject to external perturbations and uncertainties due to …
Experimental Comparison of Robust Control Algorithms for Torque Ripple Reduction in Multiphase Induction Generators
This paper introduces robust nonlinear controller strategies for multiphase induction
machines, aiming to enhance operational reliability under healthy and faulty conditions …
machines, aiming to enhance operational reliability under healthy and faulty conditions …
Detection and classification of mechanical faults of three phase induction motor via pixels analysis of thermal image and adaptive neuro-fuzzy inference system
G Devarajan, M Chinnusamy, L Kaliappan - Journal of Ambient …, 2021 - Springer
The fault diagnosis in motor is substantial as it results in breakdown of production line and
the faults may damage motor and results in economic losses. Bearing failure, rotor …
the faults may damage motor and results in economic losses. Bearing failure, rotor …
Analysis of artificial intelligence in industrial drives and development of fault deterrent novel machine learning prediction algorithm
K Vishnu Murthy, L Ashok Kumar - Automatika: časopis za automatiku …, 2022 - hrcak.srce.hr
Sažetak Industrial sectors rely on electrical inverter drives to power their various load
segments. Because the majority of their load is nonlinear, their drive system behaviour is …
segments. Because the majority of their load is nonlinear, their drive system behaviour is …
An Intelligent Control Technique-Based DTC of BLDC Motor Using New Multi-level Inverter
SA Naik, GL Pahuja, P Kulkarni - Latest Trends in Renewable Energy …, 2021 - Springer
This paper proposes an intelligent elephant herding optimization (EHO) methodology for
modeling the direct torque control (DTC) of a BLDC motor. The BLDC motor's DTC has …
modeling the direct torque control (DTC) of a BLDC motor. The BLDC motor's DTC has …