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Dr.NAGARAJAN. S
Poster presentation
Induction motor fed by fault tolerant inverter fed induction motor drive
Induction motor fed by fault tolerant inverter fed induction motor drive
Dr.NAGARAJAN. S
UN Sustainable goals for 2030
An overview of sustainable path way for the global energy transition
An overview of sustainable path way for the global energy transition
Dr.NAGARAJAN. S
DETECTION OF INTERTURN FAULT IN THREE PHASE SQUIRREL CAGE INDUCTION MOTOR USING MAGNET
DETECTION OF INTERTURN FAULT IN THREE PHASE SQUIRREL CAGE INDUCTION MOTOR USI...
DETECTION OF INTERTURN FAULT IN THREE PHASE SQUIRREL CAGE INDUCTION MOTOR USI...
Dr.NAGARAJAN. S
INVESTIGATIONS ON FAULT DETECTION OF INVERTER FED THREE PHASE SQUIRREL CAGE INDUCTION MOTOR
Ph.D Abstract
Ph.D Abstract
Dr.NAGARAJAN. S
various event organised for the benefit of students
curricular and cocurricular event details during lockdown period
curricular and cocurricular event details during lockdown period
Dr.NAGARAJAN. S
INVESTIGATIONS ON FAULT DETECTION OF INVERTER FED THREE PHASE SQUIRREL CAGE INDUCTION MOTOR
PhD viva voce Presentation
PhD viva voce Presentation
Dr.NAGARAJAN. S
INVESTIGATIONS ON FAULT DETECTION OF INVERTER FED THREE PHASE SQUIRREL CAGE INDUCTION MOTOR
Ph.D thesis sample
Ph.D thesis sample
Dr.NAGARAJAN. S
Recomendados
Carrer Options
EEE graduates career options
EEE graduates career options
Dr.NAGARAJAN. S
Poster presentation
Induction motor fed by fault tolerant inverter fed induction motor drive
Induction motor fed by fault tolerant inverter fed induction motor drive
Dr.NAGARAJAN. S
UN Sustainable goals for 2030
An overview of sustainable path way for the global energy transition
An overview of sustainable path way for the global energy transition
Dr.NAGARAJAN. S
DETECTION OF INTERTURN FAULT IN THREE PHASE SQUIRREL CAGE INDUCTION MOTOR USING MAGNET
DETECTION OF INTERTURN FAULT IN THREE PHASE SQUIRREL CAGE INDUCTION MOTOR USI...
DETECTION OF INTERTURN FAULT IN THREE PHASE SQUIRREL CAGE INDUCTION MOTOR USI...
Dr.NAGARAJAN. S
INVESTIGATIONS ON FAULT DETECTION OF INVERTER FED THREE PHASE SQUIRREL CAGE INDUCTION MOTOR
Ph.D Abstract
Ph.D Abstract
Dr.NAGARAJAN. S
various event organised for the benefit of students
curricular and cocurricular event details during lockdown period
curricular and cocurricular event details during lockdown period
Dr.NAGARAJAN. S
INVESTIGATIONS ON FAULT DETECTION OF INVERTER FED THREE PHASE SQUIRREL CAGE INDUCTION MOTOR
PhD viva voce Presentation
PhD viva voce Presentation
Dr.NAGARAJAN. S
INVESTIGATIONS ON FAULT DETECTION OF INVERTER FED THREE PHASE SQUIRREL CAGE INDUCTION MOTOR
Ph.D thesis sample
Ph.D thesis sample
Dr.NAGARAJAN. S
Z Bus technique
Bus Building Algorithm
Bus Building Algorithm
Dr.NAGARAJAN. S
NBA HOD Presentation
NBA Presentation-EEE
NBA Presentation-EEE
Dr.NAGARAJAN. S
Unit-4 Unsymmetrical fault Analysis
Power System Analysis
Power System Analysis
Dr.NAGARAJAN. S
Unit-3 Lecture notes,Symmetrical fault
Power System Analysis
Power System Analysis
Dr.NAGARAJAN. S
Unit-2 Lecture Notes, Load flow Analysis
Power System Analysis
Power System Analysis
Dr.NAGARAJAN. S
Unit 1-Lecture Notes problem
Power System Analysis
Power System Analysis
Dr.NAGARAJAN. S
Unit 1-Lecture Notes
Power System Analysis
Power System Analysis
Dr.NAGARAJAN. S
Finite element method is more precise than the winding function approach, as it is based on the actual geometry of the machine and the machine model can easily be modified in order to study the effect of faults on the machine’s performance. Accurate models of the machine under healthy and faulty conditions are developed. This paper presents simulations of broken bars detection in a three phase squirrel cage induction motor under no load, half load and full load conditions for two and eight broken bars. The analysis is done using MagNet.
Detection of Broken Bars in Three Phase Squirrel Cage Induction Motor using F...
Detection of Broken Bars in Three Phase Squirrel Cage Induction Motor using F...
Dr.NAGARAJAN. S
In this paper, a new multiport, hybrid green-fed DC-DC bidirectional converter is designed and fed into the standalone system. This model is developed and integrated to study the concept of generating systems. In this model, a PV panel of 300 watts is designed and integrated to a bidirectional converter with a battery backup to extract power, while the wind power is harnessed with a transformer coupled a dual-half-bridge converter. The model proposed is designed with a meritorious objective of sustainable, cost-effective, less component count reduced losses, and good efficiency with a good relia- bility. The system works day and night to produce output with good efficiency. The simulation results are obtained using MATLAB software 2014a, and hence, the performance is analyzed.
Hybrid Green Energy Systems for Uninterrupted Electrification
Hybrid Green Energy Systems for Uninterrupted Electrification
Dr.NAGARAJAN. S
Medical imaging plays a vital role in medical diagnosis and treatment. However, distinct imaging modality yields information only in limited domain. Studies are done for analysis information collected from distinct modalities of same patient. This led to the introduction of image fusion in the field of medicine and the progression of image fusion techniques. Image fusion is characterized as the amalgamation of significant data from numerous images and their incorporation into seldom images, generally a solitary one. This fused image will be more instructive and precise than the indi- vidual source images that have been utilized, and the resultant fused image comprises paramount information. The main objective of image fusion is to incorporate all the essential data from source images which would be pertinent and comprehensible for human and machine recognition. Image fusion is the strategy of combining images from distinct modalities into a single image [1]. The resultant image is utilized in variety of applications such as medical diagnosis, identification of tumor and surgery treatment [2]. Before fusing images from two distinct modalities, it is essential to preserve the features so that the fused image is free from inconsistencies or artifacts in the output.
Hybrid Pixel-Based Method for Multimodal Medical Image Fusion Based on Integr...
Hybrid Pixel-Based Method for Multimodal Medical Image Fusion Based on Integr...
Dr.NAGARAJAN. S
Recent developments in intelligent control methods and power electronics have amended PhotoVoltaic (PV) based DC to AC converters related to AC drives. Interleaved cuk converter and inverter find their way in interconnecting PV and Induction Motor Drive (IMD). Simulation studies were done for closed loop InterLeaved Cuk Converter and Inverter fed Induction Motor Drive (ILCCIIMD) systems with conventional and intelligent controllers. These studies were carried out using MATLAB simulink based models for ILCCIIMD. For production of DC- voltage in the input of the inverter, PV fed InterLeaved Cuk-regulator is recommended. Cuk-regulator is utilized for enhancing the output of the PV system. Closed loop Proportional-Integral (PI), Proportional- Resonant(PR) and Fuzzy-Logic(FL) controlled ILCCIIMD systems are simulated and their outcome like dy- namic responses and torque ripple are related for an Electric Vehicle(EV) application. The proposed IL- CCIIMD system with FLC is found to have better dynamic characteristics and lesser torque ripple when compared to the system with conventional controller.
Current mode controlled fuzzy logic based inter leaved cuk converter SVM inve...
Current mode controlled fuzzy logic based inter leaved cuk converter SVM inve...
Dr.NAGARAJAN. S
Three phase induction motors are complex electro-mechanical devices widely used in most industrial applications. Induction motors are susceptible to many types of fault in industrial application such as rotor bar broken fault, stator inter turn fault, eccentricity fault. Out of these faults eccentricity is very specific in squirrel cage induction motor. If the initial stage of motor failure is not identified will cause the severe damage and production shutdowns. This paper presents the simulations of eccentricity fault detection in three phase squirrel cage induction motor under various load conditions for healthy and faulty conditions. In this paper, dynamic model of induction motor is developed using CAD package called MagNet for static and transient 2D analysis. The various machine parameters like stator current, magnetic flux density, and magnetic torque are calculated and their values are compared under healthy and faulty conditions.
Detection and analysis of eccentricity
Detection and analysis of eccentricity
Dr.NAGARAJAN. S
Blended Learning
Innovative teaching methodology
Innovative teaching methodology
Dr.NAGARAJAN. S
Sample NAAC Presentation
NAAC presentation EEE department
NAAC presentation EEE department
Dr.NAGARAJAN. S
Overview about carbon Emission and sustainable pathway for resilient city
An overview of sustainable path way for the global energy transition
An overview of sustainable path way for the global energy transition
Dr.NAGARAJAN. S
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Roadmap to Membership of Royal Institute of Chartered Surveyors الطريق إلى عضوية المعهد الملكي البريطاني للمساحين المعتمدين
Roadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and Routes
M Maged Hegazy, LLM, MBA, CCP, P3O
LIST OF EXPERIMENTS: 1. Implement simple vector addition in Tensor Flow. 2. Implement a regression model in Keras. 3. Implement a perception in TensorFlow/Keras Environment. 4. Implement a Feed Forward Network in TensorFlow/Keras. 5. Implement an image classifier using CNN in TensorFlow/Keras. 6. Improve the deep Learning model by fine tuning hyper parameters. 7. Implement a Transfer Learning concept in image classification. 8. Using a pre trained model on Keras for transfer learning. 9. Perform Sentimental Analysis using RNN. 10. Implement an LSTM based Auto encoding inTensorflow/Keras. 11. Image generation using GAN. ADDITIONAL EXPERIMENTS 12. Train a deep Learning model to classify a given image using pre trained model. 13. Recommendation system from sales data using Deep Learning. 14. Implement Object detection using CNN. 15. Implement any simple Reinforcement Algorithm for an NLP problem.
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
Asst.prof M.Gokilavani
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African Journal of Biological Sciences is an International peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of Biological Sciences. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. For more information on Article Processing charges click here. Its scope embraces Animal Sciences, Biochemistry, Bioinformatics, Biotechnology, Botany, Cell Biology, Developmental Biology, Ecology, Environmental Sciences, Ethno Medicine, Food Science, Freshwater Biology, Genetics, Immunology, Marine Biology, Microbiology, Molecular Biology, Physiology, Plant Sciences, Structural Biology,Toxicology,Zoology etc. It is essential that authors prepare their manuscripts according to established specifications. Failure to follow them may result in papers being delayed or rejected. Therefore, contributors are strongly encouraged to read the author guidelines carefully before preparing a manuscript for submission. The manuscripts should be checked carefully for grammatical, punctuation errors. All papers are subjected to peer review. All articles published in this journal represent the opinion of the authors and not reflect the official policy of the Journal of African Journal of Biological Sciences
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
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In this paper, a new multiport, hybrid green-fed DC-DC bidirectional converter is designed and fed into the standalone system. This model is developed and integrated to study the concept of generating systems. In this model, a PV panel of 300 watts is designed and integrated to a bidirectional converter with a battery backup to extract power, while the wind power is harnessed with a transformer coupled a dual-half-bridge converter. The model proposed is designed with a meritorious objective of sustainable, cost-effective, less component count reduced losses, and good efficiency with a good relia- bility. The system works day and night to produce output with good efficiency. The simulation results are obtained using MATLAB software 2014a, and hence, the performance is analyzed.
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Medical imaging plays a vital role in medical diagnosis and treatment. However, distinct imaging modality yields information only in limited domain. Studies are done for analysis information collected from distinct modalities of same patient. This led to the introduction of image fusion in the field of medicine and the progression of image fusion techniques. Image fusion is characterized as the amalgamation of significant data from numerous images and their incorporation into seldom images, generally a solitary one. This fused image will be more instructive and precise than the indi- vidual source images that have been utilized, and the resultant fused image comprises paramount information. The main objective of image fusion is to incorporate all the essential data from source images which would be pertinent and comprehensible for human and machine recognition. Image fusion is the strategy of combining images from distinct modalities into a single image [1]. The resultant image is utilized in variety of applications such as medical diagnosis, identification of tumor and surgery treatment [2]. Before fusing images from two distinct modalities, it is essential to preserve the features so that the fused image is free from inconsistencies or artifacts in the output.
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Recent developments in intelligent control methods and power electronics have amended PhotoVoltaic (PV) based DC to AC converters related to AC drives. Interleaved cuk converter and inverter find their way in interconnecting PV and Induction Motor Drive (IMD). Simulation studies were done for closed loop InterLeaved Cuk Converter and Inverter fed Induction Motor Drive (ILCCIIMD) systems with conventional and intelligent controllers. These studies were carried out using MATLAB simulink based models for ILCCIIMD. For production of DC- voltage in the input of the inverter, PV fed InterLeaved Cuk-regulator is recommended. Cuk-regulator is utilized for enhancing the output of the PV system. Closed loop Proportional-Integral (PI), Proportional- Resonant(PR) and Fuzzy-Logic(FL) controlled ILCCIIMD systems are simulated and their outcome like dy- namic responses and torque ripple are related for an Electric Vehicle(EV) application. The proposed IL- CCIIMD system with FLC is found to have better dynamic characteristics and lesser torque ripple when compared to the system with conventional controller.
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Three phase induction motors are complex electro-mechanical devices widely used in most industrial applications. Induction motors are susceptible to many types of fault in industrial application such as rotor bar broken fault, stator inter turn fault, eccentricity fault. Out of these faults eccentricity is very specific in squirrel cage induction motor. If the initial stage of motor failure is not identified will cause the severe damage and production shutdowns. This paper presents the simulations of eccentricity fault detection in three phase squirrel cage induction motor under various load conditions for healthy and faulty conditions. In this paper, dynamic model of induction motor is developed using CAD package called MagNet for static and transient 2D analysis. The various machine parameters like stator current, magnetic flux density, and magnetic torque are calculated and their values are compared under healthy and faulty conditions.
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M Maged Hegazy, LLM, MBA, CCP, P3O
LIST OF EXPERIMENTS: 1. Implement simple vector addition in Tensor Flow. 2. Implement a regression model in Keras. 3. Implement a perception in TensorFlow/Keras Environment. 4. Implement a Feed Forward Network in TensorFlow/Keras. 5. Implement an image classifier using CNN in TensorFlow/Keras. 6. Improve the deep Learning model by fine tuning hyper parameters. 7. Implement a Transfer Learning concept in image classification. 8. Using a pre trained model on Keras for transfer learning. 9. Perform Sentimental Analysis using RNN. 10. Implement an LSTM based Auto encoding inTensorflow/Keras. 11. Image generation using GAN. ADDITIONAL EXPERIMENTS 12. Train a deep Learning model to classify a given image using pre trained model. 13. Recommendation system from sales data using Deep Learning. 14. Implement Object detection using CNN. 15. Implement any simple Reinforcement Algorithm for an NLP problem.
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African Journal of Biological Sciences is an International peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of Biological Sciences. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. For more information on Article Processing charges click here. Its scope embraces Animal Sciences, Biochemistry, Bioinformatics, Biotechnology, Botany, Cell Biology, Developmental Biology, Ecology, Environmental Sciences, Ethno Medicine, Food Science, Freshwater Biology, Genetics, Immunology, Marine Biology, Microbiology, Molecular Biology, Physiology, Plant Sciences, Structural Biology,Toxicology,Zoology etc. It is essential that authors prepare their manuscripts according to established specifications. Failure to follow them may result in papers being delayed or rejected. Therefore, contributors are strongly encouraged to read the author guidelines carefully before preparing a manuscript for submission. The manuscripts should be checked carefully for grammatical, punctuation errors. All papers are subjected to peer review. All articles published in this journal represent the opinion of the authors and not reflect the official policy of the Journal of African Journal of Biological Sciences
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Christo Ananth
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International Journal of Intelligent Systems and Applications in Engineering (IJISAE) is an international and interdisciplinary journal for both invited and contributed peer reviewed articles that intelligent systems and applications in engineering at all levels. The journal publishes a broad range of papers covering theory and practice in order to facilitate future efforts of individuals and groups involved in the field. IJISAE, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems in engineering. Its coverage also includes papers on intelligent systems applications in areas such as nanotechnology, renewable energy, medicine engineering, Aeronautics and Astronautics, mechatronics, industrial manufacturing, bioengineering, agriculture, services, intelligence based automation and appliances, medical robots and robotic rehabilitations, space exploration and etc.
Call for Papers - International Journal of Intelligent Systems and Applicatio...
Call for Papers - International Journal of Intelligent Systems and Applicatio...
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Air Compressors
UNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its Performance
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Intze Overhead Water Tank Design by Working Stress - IS Method.pdf
Intze Overhead Water Tank Design by Working Stress - IS Method.pdf
Suman Jyoti
double rodded
Double rodded leveling 1 pdf activity 01
Double rodded leveling 1 pdf activity 01
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There are common misconceptions among design engineers regarding pipe stiffness, pipe deflection, impact strength, abrasion, and design life when comparing PVC and fiberglass (FRP) sewer pipes. When correct evaluations are done, PVC is the product of choice.
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
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Double field revolving theory: According to the double field revolving theory, we can resolve any alternating quantity into two components. Each component has a magnitude equal to half of the maximum magnitude of the alternating quantity, and both these components rotate in the opposite direction to each other
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torque
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Call for Papers - International Journal of Intelligent Systems and Applicatio...
Call for Papers - International Journal of Intelligent Systems and Applicatio...
UNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its Performance
University management System project report..pdf
University management System project report..pdf
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Intze Overhead Water Tank Design by Working Stress - IS Method.pdf
Intze Overhead Water Tank Design by Working Stress - IS Method.pdf
Double rodded leveling 1 pdf activity 01
Double rodded leveling 1 pdf activity 01
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
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Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torque
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