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Non-ideal frequency response (FR) and voltage non-linearity of high-voltage (HV) instrument transformers directly impact the accuracy of HV measurements in the presence of harmonics. Characterization of voltage instrument transformer FR is generally performed at low voltage (LV) with sinusoidal test signals. Those results may not accurately represent the response of the instrument transformer when subjected to distorted waveforms in modern power systems. This article presents a calibration system for the evaluation of harmonic measurement accuracy of single-phase instrument transformers with rated voltages up to 132/\surd 3 kV using multitone test signals containing a HV fundamental component and superimposed harmonics up to 10 kHz. Such signals would represent the realistic operating conditions of HV instrument transformers. The performance of the developed system was analyzed by obtaining the voltage ratio and phase displacement of the reference capacitive voltage divider (CVD) from ....
Punyam Academy Launches Comprehensive Instrument Calibration Courses Globally On Online Platforms menafn.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from menafn.com Daily Mail and Mail on Sunday newspapers.
During most of 2023 we highlighted one updated rebuttal per week, output from our quite productive Rebuttal Update Factory. Cranky Uncle learned a few new languages during the year and we could add several handbook translations. But there was a lot more to keep us busy during the year! As in previous recaps, this one is divided into several sections: ....
When fusing the measurement data with different sampling frequencies from the light detection and ranging (LiDAR) and inertial measurement unit (IMU), their timestamps should be exactly aligned. However, in reality the timestamps of LiDAR and IMU are typically subject to different influences, which will inevitably generate the time delay error to reduce the accuracy and robustness of the LiDAR-IMU system. To this avail, this article proposes a new method that integrates the double layer recurrent neural network (DLRNN) and multistate constrained Kalman filter (MSCKF) to online correct the LiDAR-IMU time delay errors. In this new method, the MSCKF can improve the DLRNN training accuracy while in return the DLRNN can enhance the error estimating performance of the MSCKF. With this mutual improvement strategy, the time delay error can be precisely corrected in both the static and dynamic operation modes of the LiDAR-IMU system. The main contributions include: 1) Dual-information fusion is ....
Research Gaps In Contaminants Of Emerging Concern (CECs): Routes To The Standardization Of Chemical Test Methods By GC/LC-Mass Spectrometry: A Review openaccesspub.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from openaccesspub.org Daily Mail and Mail on Sunday newspapers.