Power Quality Detection, Classification and Monitoring Using LABVIEW

Extensive Labview Based Power Quality Monitoring and Protection System

Power quality issues and mitigation techniques became hot research topics soon after the introduction of solid state devices in power system. The equipments of non-linear nature introduce power quality issues such as harmonics, reduction in power factor, voltage unbalance, transients etc. and cause malfunction or damage of power system equipments. In this paper, harmonics, noises, reactive powe...

Real Time Detection and Classification of Single and Multiple Power Quality Disturbance Based on Embedded S- Transform Algorithm in Labview

This paper present the features extraction of the real time voltage signal performed by S-Transform analysis for the purpose of detection and classification of PQ disturbance, which focus on voltage sag, voltage swell and transient. The extracted features will be used as a parameter in detecting and classifying the single and multiple PQ disturbances. As for validation purpose, the real time S-...

Power Quality Monitoring using PMU

Voltage sags are the most common power quality disturbance usually associated with power system faults, which can cause huge economic loss, making it the focus of emerging research. The proposed voltage sag detection technique for a single-line-to-ground (SLG) fault is presented using the PMU measurement data for improving the power quality. Various voltage sag detection techniques have been di...

Rice Classification and Quality Detection Based on Sparse Coding Technique

Classification of various rice types and determination of its quality is a major issue in the scientific and commercial fields associated with modern agriculture. In recent years, various image processing techniques are used to identify different types of agricultural products. There are also various color and texture-based features in order to achieve the desired results in this area. In this ...

Power Quality Disturbance Detection and Classification Using Signal Processing and Soft Computing Techniques