Partial discharge (PD) detection is essential to the operation of high-voltage systems. In this context, we investigate the basic characteristics of light emission during PDs in SF6 gas from the perspective of insulation diagnosis. A synchronous system is constructed using three optical photoelectric instruments with separate wavelength responses in the ultraviolet (UV, 189–352 nm), visible (VI...

This paper describes a novel burst-mode CDR(Clock and Data Recovery) circuit can be used in 622Mbps burst mode applications. The designed circuit is basically a PLL(Phase Locked Loop) has 2 PD(Phase Detector)s each for reference clock and NRZ type data, altered by external control signal. This CDR was fabricated in 1-poly 5-metal 0.25 μ m CMOS technology. Jitter generation, burst/continuous mod...

Partial discharge (PD) measurement and recognition is a significant tool for potential failure diagnosis of the high-voltage equipment. This paper proposes the application of grey clustering approach (GCA) to recognize partial discharge patterns of the high-voltage equipment. The PD patterns are measured by using a commercial PD detector. A set of features, used as operators, for each PD patter...

Accelerometers have been widely used in wearable systems for gait analysis. Several gait cycle parameters are provided to quantify the level of gait regularity and symmetry. This study attempts to assess abnormal gaits of Parkinson disease (PD) patients based on the gait cycle parameters derived in real-time from an accelerometry-based wearable motion detector. The results of an experiment with...

Partial discharge (PD) pattern recognition is an important tool in HV insulation diagnosis. A PD pattern recognition approach of HV power transformers based on a neural network is proposed in this paper. A commercial PD detector is firstly used to measure the 3-D PD patterns of epoxy resin power transformers. Then, two fractal features (fractal dimension and lacunarity) extracted from the raw 3...

Partial discharge (PD) pattern recognition is an important tool in high-voltage insulation diagnosis of power systems. A PD pattern classification approach of high-voltage power transformers based on a neural network is proposed in this paper. A commercial PD detector is firstly used to measure the 3-D PD patterns of epoxy resin power transformers. Then, the gray intensity histogram extracted f...