Combined Approach Using Clustering-Random Forest to Evaluate Partial Discharge Patterns in Hydro Generators

Using Metaheuristic Algorithms Combined with Clustering Approach to Solve a Sustainable Waste Collection Problem

Sustainability is a monumental issue that should be considered in designing a logistics system. In order to incorporate sustainability concepts in our study, a waste collection problem with economic, environmental, and social objective functions was addressed. The first objective function minimized overall costs of the system, including establishment of depots and treatment facilities. Addressi...

ENGINEERING NOTE Using Random Test Patterns to Evaluate MTF

Research on random targets for modulation transfer function (MTF) evaluation began in 1986 at the Center for Education and Research in Optics and Lasers (CREOL) located at the University of Central Florida. Under the direction of Dr. Glenn D. Boreman, research was conducted on the use of integrating spheres to produce highly uniform laser speckle. Dr. Boreman demonstrated that the exit port of ...

A Novel Approach to Partial Discharge Monitoring

On-line partial discharge (PD) monitoring has existed in some form since the early 1980s. It is the tool of choice to evaluate the health of the stator insulation on large rotating machines. However, analysis of partial discharge results remains difficult to most users and advanced interpretation is usually reserved for experts in the field. While the hardware development has matured, it hasn’t...

Using linear mean and variance technique to evaluate the pattering in random winding process

Classification Of Partial Discharge Patterns Using Fractal Geometry

Partial discharge (PD) pattern recognition is an important diagnostic tool to get the dielectric deterioration degree of electrical insulation. A PD pattern recognition approach of artificial partial discharge sources based on neural networks is proposed in this paper. A commercial PD detector is used to measure the three-dimension PD patterns. Two fractal features (fractal dimension and lacuna...