By Omar Mohamed, Jihong Wang, Shen Guo (auth.), Sio-Iong Ao, Len Gelman (eds.)
This e-book comprises fifty-five chapters, revised and prolonged from study articles initially offered on the international Congress on Engineering 2010. issues lined comprise keep watch over Engineering, community administration, instant Networks, Biotechnology, sign Processing, Computational Intelligence, Computational information, net Computing, excessive functionality Computing, and business purposes. The e-book deals the cutting-edge of super advances in electric engineering and utilized computing and likewise serves as a superb reference paintings for researchers and graduate scholars engaged on electric engineering and utilized computing.
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Extra info for Electrical Engineering and Applied Computing
3. Instrumentation for acoustic measurements ultrasonic PZT detectors are used for measuring the AE outside the tank. Fiber-optic sensors are being developed for measurements inside . The experimental set-up is an oil-filled tank with immersed electrodes that generate PD. The ultrasonic sensors (R15i, 150 kHz, *1 V/Pa) are externally mounted on the tank walls. A wide-band ferrite (10 MHz) is used for electrical measurements and additional instrumentation (Techimp) provides electrical PD analysis.
6 Conclusions and Future Work The design and implementation of a post-processing algorithm is presented for the detection and location of partial discharges and the condition assessment of the insulation. The algorithm is able to parameterize the signals, to define the ranges and to delimitate the time windows in order to locate and classify PD in transformers. It was applied to signals from internal PD that were acquired by external 3 Detection and Location of Acoustic and Electric Signals 37 acoustic sensors, but it is being extended to superficial PD and internal acoustic fiber-optic sensors.
2). Pn ðxi À "xÞ Á ðyi À "yÞ ð3:2Þ PMCC ¼ r ¼ Pn i¼1 P xÞ2 Á ni¼1 ðyi À "yÞ2 i¼1 ðxi À " The flowchart of the wavelet filtering is shown in Fig. 3. It is remarkable that the pattern for each channel is processed only one time. Afterwards the reconstructed signal (PATTERNw) and the configuration of the filter are obtained. Each and every acquisition is configured with these parameters. The filtered patterns (PATTERNw) and the filtered signals (SIGNALw) are the sum of their respective selected decompositions.