Small-Scale Microgrid Model with Wind and Solar Power Integration
A compact microgrid model incorporating wind turbines and photovoltaic cells for real-time operational monitoring and performance analysis
Detecting Outliers Using Grubbs' Test with Code Implementation
Identifying and removing gross errors from input data using Grubbs' criterion, including statistical threshold calculation and automated outlier detection algorithms
Short-Term Power Quality Disturbance Detection Method Based on S-Transform with Source Code
Excellent research paper with complete source code implementation. Voltage sag is one of the most concerning dynamic power quality issues. The widespread use of new power electronic devices demands higher power quality standards in grid systems. Since voltage sags exhibit propagation characteristics within power networks, both grid operators and end-users urgently require research and solutions for voltage sag mitigation. Voltage sag detection serves as the fundamental prerequisite for addressing this issue. This paper focuses on researching voltage sag detection methods, analyzing current research status of short-term power quality disturbance detection, and specifically examining voltage sag characteristics under three scenarios: short-circuit faults, induction motor starting, and transformer excitation. The study implements an S-transform-based detection algorithm that extracts features from S-magnitude and S-complex matrices to analyze amplitude variations, phase jumps, duration, and harmonic content.
Pitch Period Detection Using Cepstrum Method
Pitch period detection using cepstrum method implemented in MATLAB with signal processing algorithms
Circle Detection with Unknown Radius Using Hough Transform
Implementation of circular object detection with unknown radius through Hough transform methodology
Motion Object Detection Using Optical Flow Method
A beginner-friendly program implementing optical flow for motion detection, featuring pixel intensity tracking and movement vector calculation.
Hough Transform-Based Line Detection Algorithm with Customizable Parameters
A self-developed MATLAB program implementing Hough transform for detecting lines meeting specific conditions, featuring detailed parameter explanations and optimization guidance
Gaussian Mixture Model Background Subtraction for Motion Detection
Gaussian Mixture Model-based background subtraction algorithm for detecting moving objects with implementation insights
Hough Line Detection Algorithm Implementation
The Hough line detection algorithm provides a straightforward and efficient approach for identifying straight lines in static images, featuring optimized parameter configuration and practical implementation techniques.
Robust Algorithm for Human Pose Estimation
A powerful algorithm for human pose estimation that detects and precisely locates human limbs, torso, and head positions, enabling higher-level analysis through coordinate regression and keypoint detection techniques.