Control of wind energy conversion systems based on the Modular Multilevel Matrix converter [PDF]
, 2017 The nominal power of single Wind Energy Conversion Systems (WECS) has been steadily growing, reaching power ratings close to 10MW. In the power conversion stage, medium-voltage power converters are replacing the conventional low-voltage back-to-back ...
Cardenas, Roberto +6 more
core +2 more sources
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Operation and Control Methods of Modular Multilevel Converters in Unbalanced AC Grids: A Review
IEEE Journal of Emerging and Selected Topics in Power Electronics, 2019 High-voltage direct current (HVdc) transmission systems based on modular multilevel converters (MMCs) are a promising solution for efficient bulk power transmission over long distances.
Jinke Li +3 more
semanticscholar +1 more source
Reliability-Oriented Design of Modular Multilevel Converters for Medium-Voltage STATCOM
IEEE transactions on industrial electronics (1982. Print), 2020 Modular multilevel converters (MMC) are complex systems, composed of many elements, and exposed to critical load demands in some cases. Thereby, a detailed design of its components is of preeminent importance to achieve a high system-level reliability ...
J. Farias +5 more
semanticscholar +1 more source
Generalized switching function model of modular multilevel converter [PDF]
, 2015 This paper presents a generalized switching function model of the modular multilevel converter (MMC) that can be used instead of MMC electromagnetic transient simulation model for full-scale simulations of high-voltage dc (HVDC) and flexible ac ...
Adam, G.P. +3 more
core +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
Advanced Intelligent Systems, EarlyView.This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission. [PDF]
Sensors (Basel), 2022 Ahmed HOA +4 more
europepmc +1 more source
Thyristor-Bypassed Sub-Module Power-Groups for Achieving High-Efficiency, DC Fault Tolerant Multilevel VSCs [PDF]
, 2017 Achieving DC fault tolerance in modular multilevel converters requires the use of a significant number of Sub-Modules (SMs) which are capable of generating a negative voltage.
Green, Tim C. +4 more
core +1 more source
Advanced Intelligent Systems, EarlyView.A fully integrated analog processing‐in‐memory system is demonstrated, combining charge‐trap flash synapse arrays with a successive integration‐and‐rescaling neuron circuit. The architecture performs bit‐sliced analog accumulation with high linearity and low power, achieving efficient and scalable analog in‐memory computing and bridging device‐level ...
Sojoong Kim +4 more
wiley +1 more source
Open-Circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) Method. [PDF]
Sensors (Basel), 2021 Wang Q +4 more
europepmc +1 more source