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During power supply swings, current and voltage waveforms are modulated with additional frequency elements which lead to maloperation of relays. This maloperation may cause cascade tripping of transmission lines, which results in the failure of electrical grid networks. Power Swing Blockers (PSBs) are employed to block and prevent maloperation of distance relays during power swing. Along with power swing, the presence of TCSC compensation in transmission line deteriorates the input signals to relays which make fault classification a complex task. During the PSB blocking period, modulated signals distorted with non-linearities of MOV operation complicate the fault diagnosis functioning. This challenge motivates to develop an algorithm for fault classification during power swings. To address aforementioned challenges, a Wigner Ville energy-based fault classification technique is proposed in this work. A modified 9 bus WSCC system with TCSC compensation is used for testing and validation of the proposed scheme. The scheme is tested for different cases like symmetrical, close-in fault, asymmetrical high resistance fault, and CT saturation, etc. The scheme is also validated against transient conditions like load and capacitor switching. The performance of proposed scheme is compared with existing schemes in literature. The above scheme is also implemented and validated on an Intel Cyclone V SOC FPGA. The results show that the proposed scheme classifies faults accurately during the simulation as well as on hardware platform. [ABSTRACT FROM AUTHOR]

Background: Nephropathy problems in the Udhanam region of Andhra Pradesh in India have motivated researchers to investigate the various factors related to chronic kidney disease (CKD). Initially, studies came across the markers of identification of CKD, i.e., glomerular filtration rate (GFR) and albumin creatinine rate, as global markers of identification. Cystatin C (Cys C) and its reciprocal (1/Cys C) are used to calculate GFR. This is a very easy method compared to the more accurate methods such as radiolabelled tracer clearances, which are invasive, may involve radiation, and require several hours to perform, e.g., 99-diethylene triamine penta-acetic acid ( 99m Tc-DTPA) and 51 Cr-EDTA. This article provides the causes (or risk factors), symptoms, and complications of CKD in a clear manner such that even common people can easily understand. Once a patient is detected and proved to be affected by CKD then the patient as well as the caretakers, including doctors, must follow some constraints. Thereby it is possible to prevent CKD progression in the patient. Modern methods are needed to prevent the pathogens which are responsible for CKD., Summary: With the help of various engineering techniques one can easily design controllers to assess as well as to prevent CKD permanently. The easiest procedure for identifying CKD is to screen people. Current recommendations suggest screening of individuals with diabetes, hypertension, cardiovascular disease, and family history of kidney diseases in the course of routine health check-ups. Much work has been done in medical sciences in the area of CKD, but there is still scope for further research. From the recent studies, advanced tools such as data mining, etc., are considered to be the current trend in the area of CKD., Key Message: From this article, the authors propose that patients who are already affected by urinary tract infection, acute kidney injury, and a family history of CKD should be examined via some basic tests for the presence of CKD., Competing Interests: The authors declare that there is no conflict of interest regarding the publication of this article., (Copyright © 2019 by S. Karger AG, Basel.)