CheungBOBOBO

CheungBOBOBO's Stars

• wangzhizhou/Fish-eye-Image-Correction-Code

  This is my paper "Correction of single circular fisheye image" related program code

  Language:C++2501912103

• drNoob13/fisheyeStitcher

  Dual-fisheye stitching

  Language:C++224131365

• EZ4BYG/Func_Opt

  Various global and local optimization algorithms, as well as many practical cases. Besides, this repository aslo uses common language and analogy to explain the thinking of various algorithms. —— Still Updating!!

  Language:MATLAB1621179

• junkfei/Multidimensional_root_cause_analysis

  基于蒙特卡洛树（MCTS）的多维监控异常根因分析

  Language:Python1365451

• SuTanTank/VideoStitchingViaShakinessRemoving

  Demo code for our TIP video stitching paper in 2017

  Language:MATLAB11291139

• masoudshab/Multi-Objective-Optimization-of-Distributed-Energy-Systems-under-Grid-Faults

  Recently, riding through grid faults and supporting the grid voltage by using grid-connected converters (GCCs) have become major requirements reflected in the grid codes. This paper presents a novel reference current generation scheme with the ability to support the grid voltage by injecting a proper set of positive/negative active/reactive currents by using four controlling parameters. Analytical expressions are proposed to obtain the optimal values of these parameters under any grid voltage condition. The optimal performances can be obtained by achieving the following objectives: first, compliance with the phase voltage limits, second, maximized active and reactive power delivery, third, minimized fault currents, and fourth reduced oscillations on the active and reactive powers. These optimal behaviors bring significant advantages to emerging GCCs, such as increasing the efficiency, lowering the dc-link ripples, improving ac system stability, and avoiding equipment tripping. Simulation and experimental results verify the analytical results and the proposed expressions.

  Language:Matlab381015

• godmoves/basic_nn_in_matlab

  Implements of MATAB神经网络30个案例分析

  Language:MATLAB261015

• mdrijwan123/Duval-s-Triangle-DGA-Diagnosis

  A canvas HTML5 project to create Duval's Triangle for 3 key Gases CH4,C2H2,C2H4 and detect the fault in transformer.

  Language:JavaScript23106

• ipsorakis/mRVMs

  Code for paper: Multiclass Relevance Vector Machines - Sparsity and Accuracy

  Language:Matlab226016

• fennialesmana/sleep-stage-identification

  Project for identify human sleep stage using the combination of ELM and PSO compared to the combination of SVM and PSO

  Language:MATLAB21209

• Saleh860/DGA

  Dissolved Gas Analysis

  Language:MATLAB17204

• srijanee/DGA

  A neural network model implemented in MATLAB to predict various faults in transformers using Dissolved Gas Analysis.

  Language:Matlab177

• piotrmirowski/DGA

  Code for the 2012 IEEE Transactions on Power Delivery paper on "Statistical Machine Learning and Dissolved Gas Analysis: A Review"

  Language:MATLAB12205

• rtaormina/ELM_MatlabClass

  Fast OOP MATLAB® implementation of Extreme Learning Machines for both regression and binary classification problems.

  Language:Matlab12217

• ramyh/Simple_PD_Classification

  This Repository includes the codes and discussions that are related to the conference paper entitled "Computationally Efficient Detection Method for Acoustic Partial Discharge Signals".

  Language:MATLAB90

• mdrijwan123/Fault-detection-and-predictive-analytics-on-Transformer-data

  Predictive analytics and model building using python for detecting faults in transformer

  Language:Jupyter Notebook7100

• paulaconn/transformer-predictions

  Linear and logistic regression applied to the prediction of electrical transformer statuses, for more effective maintenance

  Language:Matlab73

• oscarperpinan/pdcluster

  pdCluster: Partial Discharges Clustering

  Language:R6300

• ramyh/Robust_PD_Detection

  This repository demonstrates how to accurately recognize the different types of acoustic PD signals in noisy environments. The results are very interesting; the proposed method achieves classification accuracies in the range 99.33%-100.00% for noise-corrupted data of SNR -40:30dB.

  Language:MATLAB6320

• artivis/calibration_2_relative_pose

  Calibration of a SpheriCam (2 fisheye cameras back-to-back) *Matlab*

  Language:Matlab5413

• karipuf/partialDischarge

  Language:Python31

• masoudshab/Smart-Monitoring-of-Deformations-on-Transformers-using-Image-Processing-and-UWB-Transceivers

  In this paper, a novel method based on image processing is proposed for detecting the presence and location of mechanical deformations on an actual power transformer winding. A vertical imaging setup is used to obtain a two-dimensional (2-D) image of the transformer winding using synthetic aperture radar (SAR) imaging method and Kirchhoff migration algorithm. The main goal of the image processing method is to detect the location of the radial deformation on the transformer high-voltage (HV) winding. Two different deformations are applied on the winding under the test in this paper. The first one is a modeled bulgymechanical deformation and the second one is an actual concave buckling made on the actual transformer HV winding. The experimental results for different cases show the effectiveness of the proposed method to detect the presence and location of the deformation on the transformer winding.

  Language:Jupyter Notebook3004

• drericstrong/tinsul

  TInsul is a Python module to simulate condition-monitoring data for paper insulation degradation of large-scale transformers.

  Language:Python2

• TheSmiff/ELEC6089-PD-Analysis

  PD Analysis Coursework

  Language:Matlab2

• YoungGer/PD_GUI

  Language:Matlab1201