Sai Charan Bharadwaj | G.Pullaiah College Of Engineering And Technology (original) (raw)

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Papers by Sai Charan Bharadwaj

2019 Innovations in Power and Advanced Computing Technologies (i-PACT), Mar 1, 2019

Electric Vehicle is one of the most effective solution for reducing the Green House Effect and Gl... more Electric Vehicle is one of the most effective solution for reducing the Green House Effect and Global Warming. It is the alternative way of conventional vehicle. In Power Electronic circuit battery, charging unit is used to deliver high performance with less power consumption. LCC compensation network is used with the Converter circuit of the battery-charging unit of EV. It has high efficiency with reduced circulating current, output voltage and output current consists of wide range regulation. In Design consideration of Battery Charging unit, Bi- directional power flow is required Grid to Vehicle (G2V) power transformation or vice versa. The paper focuses on Bi-directional Converter LCC compensation with double sided for charging Topology of the EV. In this proposed method, depending on coupling coefficient resonant frequency is independent and is used between transmitting and receiving coil where zero voltage switching (ZVS) is achieved. This proposed method is used as a charging system which is wireless with maximum resistive load of 7.77 KW instead of battery load with an achieved efficiency of 86.2%.

2019 Innovations in Power and Advanced Computing Technologies (i-PACT), 2019

2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2020

Machine learning is a fast-computational method and data analytics technique by which information... more Machine learning is a fast-computational method and data analytics technique by which information be learned directly from the data without any predetermined equation as a model. The algorithms improve their performance as the number of samples available for learning increases. Todays' challenge is energy-efficient technology and conservation of energy. Machine learning technology is the part of artificial intelligence, which helps to keep the devices more energy-efficient and can be applied in various fields like agriculture, industry, medical sector etc. Since pumping system plays a significant role in the agricultural sector and most of the industrial fields, continuous monitoring is necessary to keep the system safe and reliable. The problems like sludge, cavitation, water hammering, rotor bearing fault, and impeller breaking are the significant causes of the damage of the pump. To detecting these problems, machine learning technique can be applied. There are various algorithms of machine learning like Support Vector Machine, Neural Network, Empirical Mode of Decomposition method, K-Nearest Neighbor method etc. This paper concentrates on detecting cavitation fault in pumping system by machine learning algorithm mainly by SVM algorithm and K-Nearest Neighbor Method and on a comparative study of SVM and K Nearest Neighbor algorithm.

Artificial Intelligence (AI), 2021

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

he curiosity to gen-up on origin the of life Man-the dominant species on the earth, who has the c... more he curiosity to gen-up on origin the of life Man-the dominant species on the earth, who has the capability of rational thinking started searching every nook and corner available for him. People like Aristotle and others developed different notions such as the motion of bodies' impeded understanding of gravitation for a long time. He believed that force could only be applied by contact; force at a distance being impossible, and a constant force was required to maintain a body in uniform motion.

The existing rocket propulsion mechanism derives energy from rocket fuels. The rocket fuel is bur... more The existing rocket propulsion mechanism derives energy from rocket fuels. The rocket fuel is burnt inside a chamber and gas produced due to combustion is expelled out through a nozzle, which produces the upward thrust for rockets or spacecrafts.
The currently available rocket fuels are in solid liquid and as from Hydrogen peroxide is one of the commonly used rocket fuels. Cold gas is another gaseous propellant. The disadvantage of these rocket fuels is that it produces low thrust.Kerosene is a liquid propellant. The liquid fuel requires cryogenic systems for their implementation. The combustion of these fuels produces toxic gases, which are expelled to the space to obtain the required thrust. Thus it creates pollution in the outer space. The system that use solid fuels are unregulated. They produce lower thrust also.
Nuclear energy can be used as a propellant. But it produces radiations, which are very harmful. These radiations can penetrate the atmosphere and affect the human kind and other living things. The effect of nuclear radiations lasts for years that can jeopardize life on earth. So the use of nuclear propulsion technique is very risky. An Electrodynamic tether with its unique features put forward a better option for propulsion of rockets and spacecrafts.

this Paper Essentially deals with Usage Synchronous Motor with out Permanent Magnet

Relativistic electromagnetism is a modern teaching strategy for developing electromagnetic field ... more Relativistic electromagnetism is a modern teaching strategy for developing electromagnetic field theory from Coulomb's law and Lorentz transformations. Though Coulomb's law expresses action at a distance, it is an easily understood electric force principle. The more sophisticated view of electromagnetism expressed by electromagnetic fields in space time can be approached by applying space time symmetries. In certain special configurations it is possible to exhibit magnetic effects due to relative charge density in various simultaneous hyper planes. This approach to physics education and the education and training of electrical and electronics engineers can be seen in the Encyclopedia

Talks by Sai Charan Bharadwaj