Abstract Accurate SOH (State of Health) prediction of lithium-ion battery is of great
significance for battery maintenance and safe driving of electric vehicles. To obtain the …

In this article, we propose a monitoring procedure based on a multilayer neural network with
multivalued neurons (MLMVN) capable of preventing catastrophic failures of dc–dc …

Modular multilevel converter (MMC) applied in high-voltage direct current (HVdc) field
consists of numerous submodules (SMs) and supports bidirectional power transfer, leading …

This paper proposes a novel augmented space robust adaptive filter by reusing the errors
for online applications. First, a batched augmented space constrained model (ASCM) is …

This paper, investigates and presents the behavioral modeling and digital pre-distortion
(DPD) of radio frequency power amplifiers (RFPAs) using a time-delay kernel ridge …

This paper proposes a novel, degradation-sensitive, adaptive SST controller for cascode
GaN-FETs. Unlike in traditional transformers, a semiconductor switch's degradation and …

Kernel ridge regression (KRR) is a kind of efficient supervised algorithm for multi-class
analysis. However, limited by the implicit kernel space, current KRR methods have weak …

SiC MOSFETs are the key ideal device for the DC Solid-State Power Controller (DC-SSPC).
The reliability of DC-SSPCs can be improved by online predicting of SiC MOSFETs aging …

For aero-engine, due to the changeable working conditions and various failure modes, it is
often difficult to estimate the remaining useful life (RUL) online. At the same time, it is difficult …

With the increasing demand for ocean missions, the development of autonomous marine
vehicles (AMVs) has flourished. AMVs rely on electricity to power various systems, so the …