abdul azeem | NIT Hamirpur (original) (raw)
engineering is a nightmare, want to re liege every 1........
Supervisors: Dr.R.N.Sharma, Dr.O.P.Rahi, and Dr.Amit Kumar Yadav
Phone: 9997244821
Address: abdul azeem s/o jameel ahmed
dabki junnardar saharanpur-247001 india(u.p.)
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A transformer is the most important equipment for power supply to consumers. For uninterrupted po... more A transformer is the most important equipment for power supply to consumers. For uninterrupted power supply to consumers proper maintenance particularly preventive maintenance is very much necessary. The failure in magnetic, electric and dielectric circuits as well as structural failure may cause extensive damage to the equipment and surroundings. Proper operation and maintenance procedure may help to prevent failure and extend life of operation of the transformer. Continuous monitoring to health of the transformer and analyzing the history of past failures may indicate the type of maintenance required & facilitate identifying incipient faults. An overview of recently developed mythologies has been covered in the present paper along with planned strategy for curbing catastrophic failures creeping In service-transformers. The methods suggested in the paper are helpful in reducing failure and extending life of both the power transformers & distribution transformers.
Research on genetic algorithms (GAs) has shown that the initial proposals are incapab... more Research on genetic algorithms (GAs) has shown that the initial proposals are incapable of solving hard
problems in a robust and efficient way. Usually, for large-scale optimization problems, the execution time of
first-generation GAs increases dramatically whereas solution quality decreases. The aim of this paper is to
point out the main design issues in tailoring Simulated Annealing and GAs to large-scale optimization
problems. In present paper, an objective function is defined with constraints and solved by both the technique
i.e., SA and GA. The solution of this problem has shown the superior performance of SA as compared to GA in
optimization technique. The problem considered in this paper is in general form and applicable to engineering
applications with specific objective function and constraints depending upon the nature of problem to be
optimized.
A transformer is the most important equipment for power supply to consumers. For uninterrupted po... more A transformer is the most important equipment for power supply to consumers. For uninterrupted power supply to consumers proper maintenance particularly preventive maintenance is very much necessary. The failure in magnetic, electric and dielectric circuits as well as structural failure may cause extensive damage to the equipment and surroundings. Proper operation and maintenance procedure may help to prevent failure and extend life of operation of the transformer. Continuous monitoring to health of the transformer and analyzing the history of past failures may indicate the type of maintenance required & facilitate identifying incipient faults. An overview of recently developed mythologies has been covered in the present paper along with planned strategy for curbing catastrophic failures creeping In service-transformers. The methods suggested in the paper are helpful in reducing failure and extending life of both the power transformers & distribution transformers.
Research on genetic algorithms (GAs) has shown that the initial proposals are incapab... more Research on genetic algorithms (GAs) has shown that the initial proposals are incapable of solving hard
problems in a robust and efficient way. Usually, for large-scale optimization problems, the execution time of
first-generation GAs increases dramatically whereas solution quality decreases. The aim of this paper is to
point out the main design issues in tailoring Simulated Annealing and GAs to large-scale optimization
problems. In present paper, an objective function is defined with constraints and solved by both the technique
i.e., SA and GA. The solution of this problem has shown the superior performance of SA as compared to GA in
optimization technique. The problem considered in this paper is in general form and applicable to engineering
applications with specific objective function and constraints depending upon the nature of problem to be
optimized.