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This paper describes the frequency analysis method of the conducted noise in AC/DC converter using SiC-MOSFETs on the basis of the leakage current by converter switching. The error of the experimental and simulation result of the disturbance voltage is 10 dBμV. Furthermore, the simulation result can be closely simulated including resonance points. This paper presents the relatively simple modeling...
In this paper, an OTA can be operated in both weak and strong inversion regions is presented. The proposed OTA has advantages: wide-common-mode-input-range, high-CMRR and low-voltage-operation. The proposed OTA is evaluated through Star-HSPICE with 0.18 mum CMOS device parameters (LEVEL53). Simulations results demonstrate a CMRR of 93 dB, a common-mode-input-range of 65 mV to 720 mV and a current...
This paper describes highly linear CMOS OTA with compensation of mobility reduction. The proposed OTA is circuitry of the adaptive bias based OTA with a tail current source, and can reduce the influence of the mobility reduction. Through Star-HSPICE simulations, we could confirm that the third-order harmonic (HD3) can be reduced by 26.6 dB by using the proposed technique. Lastly, as an application...
New energy generation systems, such as photovoltaic cells or fuel cells are increasing in application on distribution networks. These power sources require an inverter to connect to an AC network. There is the possibility that sub-network containing inverter power sources will be disconnected from the utility system to become isolated networks. This paper focuses on an isolated distribution network...
To obtain scientific guidelines for ductile-mode machining, nano-indentation, nano-bending, and nano-machining of defect-free mono-crystalline silicon are investigated by molecular dynamics simulation. Results show that amorphous phase transformation of silicon is a key mechanism for inelastic deformation, and stable shearing of the amorphous is necessary for ductile-mode machining. Stress analysis...
The paper presents an artificial neural network (ANN) approach using ART2 (Adaptive Resonance Theory 2) to a diagnostic system for gas insulated switchgear (GIS). To begin with, the authors show the background of abnormality diagnosis of GISs from the view point of predictive maintenance of them. Then, they discuss the necessity of ART-type ANNs, as an unsupervised learning method, in which neuron(s)...
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