Online monitoring of marine turbine insulation condition based on high frequency models: Methodology for finding the "best" identification protocol

2014 ◽  
Author(s):  
E. Ferdjallah-kherkhachi ◽  
E. Schaeffer ◽  
L. Loron ◽  
M.E.H. Benbouzid
Keyword(s):  
High Frequency ◽  
Online Monitoring ◽  
Insulation Condition

scholarly journals Online Monitoring of Partial Discharges in Power Transformers Using Capacitive Coupling in the Tap of Condenser Bushings

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4351
Author(s):  
Laerty Damião ◽  
João Guimarães ◽  
Guilherme Ferraz ◽  
Edson Bortoni ◽  
Ronaldo Rossi ◽  
...  
Keyword(s):  
High Frequency ◽  
Online Monitoring ◽  
Digital Filtering ◽  
Partial Discharges ◽  
Capacitive Coupling ◽  
Power Transformers ◽  
Electrical Method ◽  
Insulation Condition ◽  
Ancillary Equipment ◽  
Key Parameter

Failures in power transformers are one of the most serious occurrences in a power system. Thus, the monitoring of transformers and their ancillary equipment, such as bushings, is of great importance to improving the operational efficiency of these assets. In this context, this paper presents the development of a monitoring system for the measurement of partial discharges (PDs), which are a key parameter in the analysis of insulation condition. PD measurements were performed using the electrical method. For this purpose, a capacitive coupling device was developed for bushings that works as a sensor for high-frequency signals and also as a protection apparatus to guarantee the integrity of the bushings in cases of extreme events, such as lightning surges. In addition, a computational routine is presented that applies a digital filtering process followed by a proposed step for differentiating PDs from noises. For validation, the proposed system was subjected to laboratory tests and field applications, from which the viability of the project and the efficiency in detecting PDs were verified.

Detecting pollutant sources and pathways: High-frequency automated online monitoring in a small rural French/German transborder catchment

2021 ◽  
Vol 290 ◽  
pp. 112619
Author(s):  
Angelika M. Meyer ◽  
Elisabeth Fuenfrocken ◽  
Ralf Kautenburger ◽  
Alban Cairault ◽  
Horst P. Beck
Keyword(s):  
High Frequency ◽  
Online Monitoring ◽  
Pollutant Sources

A Highly Reliable Online Monitoring and Real-Time Alarm System for the Insulation Condition of Power Transformers

2014 ◽  
Vol 971-973 ◽  
pp. 1045-1050
Author(s):  
Wen Xing Sun ◽  
Zhao Hui Li ◽  
Shi Jie Cheng
Keyword(s):  
Electric Power ◽  
Real Time ◽  
Condition Monitoring ◽  
Online Monitoring ◽  
Hydropower Plant ◽  
Power Transformers ◽  
Monitoring Systems ◽  
Alarm System ◽  
Condition Monitoring Systems ◽  
Insulation Condition

Many successful applications for the online monitoring of the insulation condition for electric power transformers have been reported over last thirty years. However, false or unsolved alarms have been quite frequently generated by those condition monitoring systems. Failures and some occasionally catastrophic accidents involving transformers have still occurred. A highly reliable insulation condition online monitoring and real-time alarm system has been developed, to help resolve these problems. An electric power transformer has strongly linked mechanical, electrical, magnetic, chemical and thermal characteristics, and is also directly linked to circuit breakers and generators. Team Intelligence (TI) was employed to integrate all the monitoring modules of the various different aspects of the transformer into one unique system. This system could also be integrate with the condition monitoring systems of various linked facilities, such as the monitoring systems of the turbine and the generator in a Optimal Maintenance Information System for Hydropower Plant (HOMIS). Highly reliable monitoring and real-time alarms of transformer insulation condition could be achieved, due to highly coordinated and rapid response features. This system has been deployed in several hydropower plants. The industrial application examples are demonstrated.

scholarly journals Resonant Frequency Calculation and Optimal Design of Peano Fractal Antenna for Partial Discharge Detection

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Jian Li ◽  
Changkui Cheng ◽  
Lianwei Bao ◽  
Tianyan Jiang
Keyword(s):  
Pattern Recognition ◽  
Optimal Design ◽  
Resonant Frequency ◽  
High Frequency ◽  
Approximate Formula ◽  
Online Monitoring ◽  
Partial Discharge ◽  
Fractal Antenna ◽  
Insulation Defect ◽  
Frequency Calculation

Ultra-high-frequency (UHF) approaches have caught increasing attention recently and have been considered as a promising technology for online monitoring partial discharge (PD) signals. This paper presents a Peano fractal antenna for UHF PD online monitoring of transformer with small size and multiband. The approximate formula for calculating the first resonant frequency of the Peano fractal antenna is presented. The results show that the first resonant frequency of the Peano fractal antenna is smaller than the Hilbert fractal antenna when the outer dimensions are equivalent approximately. The optimal geometric parameters of the antenna were obtained through simulation. Actual PD experiments had been carried out for two typically artificial insulation defect models, while the proposed antenna and the existing Hilbert antenna were both used for the PD measurement. The experimental results show that Peano fractal antenna is qualified for PD online UHF monitoring and a little more suitable than the Hilbert fractal antenna for pattern recognition by analyzing the waveforms of detected UHF PD signals.

scholarly journals An Intelligent Sensor for the Ultra-High-Frequency Partial Discharge Online Monitoring of Power Transformers

Energies ◽  
2016 ◽  
Vol 9 (5) ◽  
pp. 383 ◽  
Author(s):  
Jian Li ◽  
Xudong Li ◽  
Lin Du ◽  
Min Cao ◽  
Guochao Qian
Keyword(s):  
High Frequency ◽  
Online Monitoring ◽  
Partial Discharge ◽  
Power Transformers ◽  
Intelligent Sensor ◽  
Ultra High Frequency

Frequency Characteristics Analysis of High Frequency Current Transformers

2014 ◽  
Vol 945-949 ◽  
pp. 1996-2004
Author(s):  
Yue Dong ◽  
Xiao Xin Chen ◽  
Yan Ran Li ◽  
Yi Ming Zhang ◽  
Chong Wei
Keyword(s):  
High Frequency ◽  
Online Monitoring ◽  
Partial Discharge ◽  
Frequency Characteristics ◽  
Equivalent Model ◽  
Optimized Design ◽  
Current Transformers ◽  
High Frequency Current ◽  
Characteristics Analysis ◽  
Frequency Current

In this paper, the equivalent model of high frequency current transformers (HFCT) for partial discharge online monitoring and its major parameters’ influence on amplitude-and phase frequency characteristics are derived. An optimized design for HFCT for partial discharge online monitoring is summarized.

The Microstructure of Steatite (Protoenstatite)

1985 ◽  
Vol 43 ◽  
pp. 236-237
Author(s):  
W. E. Lee ◽  
A. H. Heuer
Keyword(s):  
High Frequency ◽  
Glass Ceramics ◽  
Magnesium Silicate ◽  
Beam Current ◽  
Glassy Matrix ◽  
Angle Of Incidence ◽  
X Ray ◽  
Mechanical And Electrical Properties ◽  
Argon Ions ◽  
High Temperature Polymorph

IntroductionTraditional steatite ceramics, made by firing (vitrifying) hydrous magnesium silicate, have long been used as insulators for high frequency applications due to their excellent mechanical and electrical properties. Early x-ray and optical analysis of steatites showed that they were composed largely of protoenstatite (MgSiO3) in a glassy matrix. Recent studies of enstatite-containing glass ceramics have revived interest in the polymorphism of enstatite. Three polymorphs exist, two with orthorhombic and one with monoclinic symmetry (ortho, proto and clino enstatite, respectively). Steatite ceramics are of particular interest a they contain the normally unstable high-temperature polymorph, protoenstatite.Experimental3mm diameter discs cut from steatite rods (∼10” long and 0.5” dia.) were ground, polished, dimpled, and ion-thinned to electron transparency using 6KV Argon ions at a beam current of 1 x 10-3 A and a 12° angle of incidence. The discs were coated with carbon prior to TEM examination to minimize charging effects.

Simulations of high-resolution images of amorphous silicon films

1986 ◽  
Vol 44 ◽  
pp. 544-545
Author(s):  
G. Y. Fan ◽  
J. M. Cowley
Keyword(s):  
Electron Microscope ◽  
High Frequency ◽  
Fourier Transformation ◽  
Amorphous Materials ◽  
Low Frequency ◽  
Chromatic Aberration ◽  
Structure Information ◽  
Frequency Components ◽  
High Resolution Images ◽  
Spatial Frequency Spectrum

It is well known that the structure information on the specimen is not always faithfully transferred through the electron microscope. Firstly, the spatial frequency spectrum is modulated by the transfer function (TF) at the focal plane. Secondly, the spectrum suffers high frequency cut-off by the aperture (or effectively damping terms such as chromatic aberration). While these do not have essential effect on imaging crystal periodicity as long as the low order Bragg spots are inside the aperture, although the contrast may be reversed, they may change the appearance of images of amorphous materials completely. Because the spectrum of amorphous materials is continuous, modulation of it emphasizes some components while weakening others. Especially the cut-off of high frequency components, which contribute to amorphous image just as strongly as low frequency components can have a fundamental effect. This can be illustrated through computer simulation. Imaging of a whitenoise object with an electron microscope without TF limitation gives Fig. 1a, which is obtained by Fourier transformation of a constant amplitude combined with random phases generated by computer.

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