Dr.N.Jaya
@annamalaiuniversity.ac.in
Professor, Department of Electronics & Instrumentation Engineering, Faculty of Engg & Technology
Annamalai University
RESEARCH INTERESTS
Process Control
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Ebuy Werede, S. Anuradha Jabasingh, Hundessa D. Demsash, N. Jaya, and Gebreyohannes Gebrehiwot
Springer Science and Business Media LLC
S. Rajeswari, P. Saravanan, K. Kumaraguru, N. Jaya, R. Rajeshkannan, and M. Rajasimman
Springer Science and Business Media LLC
P. Saravanan, S. Ramesh, N. Jaya, and S. Anuradha Jabasingh
Springer Science and Business Media LLC
D. Hariharan and N. Jaya
The Electrochemical Society
Transformer oil with a petroleum basis has long been used in transformers as insulation and cooling. Spent oils used as the insulating fluid in transformers are disposed after extensive use. Non-biodegradable composition of the transformer oil can pose a serious threat to the environment. A Nano Particle based Used Transformer Oil Processing Method (NP-UTOPM) is suggested in this research to reuse the used transformer oil in the battery. This work examines the effects of activated bentonite and carbon absorbents in recovering the qualities of used transformer oilby investigating the re-usage features of used transformer oil samples after reclamation treatment. 50 ml of used transformer oil is utilized for the reclaiming process, along with separate mixtures of 1%, 3%, and 5% Nano Particles (NP) and blended combinations of two absorbents. According to international regulations, oil sample characteristics such as breakdown voltage, viscosity, dielectric dissipation factor, electrical conductivity, density, specific resistance, surface tension, and temperature properties are tested before and after restoration. The sample of recycled oil is used again as a liquid insulator in batteries.
K. Indirajith, N. Jaya, C. Naveen Kumar, and R. Kanimozhi
The Electrochemical Society
Among all the astonishing equipment found in power transmission and distribution networks, the insulator plays a vital role by providing mechanical support and electrical protection to power system. Despite all these noteworthy facts, the breakdown of insulators owing to surface contaminants appears to be particularly fascinating in today’s scientific world. Researchers provide a plethora of methods to eradicate this problem. Amidst the methods, superhydrophobic coating for insulators which is one of the widely used method, provide better solution as it offers resistance to moisture, wetness, dust and ice. This unique property of superhydrophobic coated insulators require further investigation. Hence to achieve this purpose, preparation of eco-friendly superhydrophobic solution of PDMS (Poly di methyl siloxane) with MTMS (Methyl tri methoxy silane) composites was made and analysed. In this study superhydrophobic coatings were prepared by using sol-gel method and spray coating technique. Authors performed characterization studies by using goniometer to measure the contact angle (CA) for superhydrophobic coating on insulator surface and it was found to be from 165° to 170° and sliding angle was from 5° to 10° confirming superhydrophobic property. Fourier Transforms Infrared Spectroscopy (FTIR) analysis validates the chemical composite of the coatings. Scanning Electron Microscope (SEM) analysis was used to observe the surface morphology of coating with estimated thickness L = 2 μm.Thermogravimetric analysis (TGA) was conducted to study about thermal withstanding limit of the coating above 600 °C. Finally, in an intentional contaminated conditions based on solid layer method of IEC60507 standards and IEC 60587 standards insulation resistances were tested using a megger instrument and self-cleaning ability of coating was also determined in this research.
K. Indirajith, N. Jaya, and C. Naveen Kumar
Springer Science and Business Media LLC
B. Karpanai Selvan, Soni Das, M. Chandrasekar, R. Girija, S. John Vennison, N. Jaya, P. Saravanan, M. Rajasimman, Yasser Vasseghian, and N. Rajamohan
Elsevier BV
B. Karpanai Selvan, K. Thiyagarajan, Soni Das, N. Jaya, S. Anuradha Jabasingh, P. Saravanan, M. Rajasimman, and Yasser Vasseghian
Elsevier BV
Tata Balaji, N. Jaya, and G. Venkata Hari Prasad
World Scientific Pub Co Pte Ltd
This paper presents the study of electrocardiogram (ECG) signals analysis using convolution neural networks (CNNs) to avoid uncertainty in classification. MIT-BIH ECG dataset with five classes of beats, i.e., nonectopic, supraventricular, ventricular, fusion, unknown, is used for testing and training. The role of pre-processing of dataset was analyzed in improving the network efficiency. All the classes were balanced by doing under-sampling. The data was transformed by adding Gaussian noise to generalize training. CNN was designed with convolutional layer, max-pooling layer, concatenation layer and fully connected layer to classify the ECG signal. A dropout layer with the value of 0.4 was incorporated. Dropout layers are critical in CNN training because they minimize the training data from overfitting which leads to reduce the uncertainty in classification. Sigmoid activation function is used for eventual classification decision making. The presented network offers a high accuracy of 89.2%.
Vinothkumar Veeramani, Kanimozhi Rajangam, and Jaya Nagendran
Springer Science and Business Media LLC
AbstractThe use of non-noble metal catalyst as electrode for energy harvesting device have drawn great deal of attention owing to its distinct features. In this work, cobalt oxide has been directly fabricated on carbon cloth substrates using simple cost effective Successive Ionic Layer Adsorption and Reaction. Cobalt oxide synthesized from Co (II) nitrate and NaOH was used as the electrode for generation of electricity from dairy wastes using Microbial Fuel Cells (MFC). Electrochemical characteristics such as cyclic voltammetry have been carried out for the cobalt oxide/carbon cloth and the obtained results are found to be a good alternative for platinum catalyst. A current of 0.15 mA was obtained at an external resistance of 2 kΏ. A single cell prototype of double chamber MFC is designed and the performance analysis is carried out in this work.
N. Jaya, B. Karpanai Selvan, and S. John Vennison
Elsevier BV
Vadivazhagi Senthilnathan and Jaya Navaneethan
UK Simulation Society
This paper presents the control of Non Linear Two Tank Conical Interacting Level System (TTCILS) using Globally Linearized Controller (GLC).This approach is based on the hypothesis that a system which is non linear in its original variables becomes linear in some form of transformation of these original variables. The performance of GLC is compared with the performance of conventional decentralized PI controller for different operating points. From the simulation studies, it is observed that GLC outperforms the decentralized PI controller with lower settling time and reduced error indices.
S. Anbu and N. Jaya
Inderscience Publishers
The continuous stirred tank reactor (CSTR) is one of the versatile reactors finding its application in many chemical industries and exhibit reasonably high non-linear behaviour. The non-linearity present in the system imposes complication in the design of conventional PID controllers. The piece-wise linear models for entire operating regions of the CSTR is obtained and controllers are designed based on the obtained models. If there exists some auxiliary variables that correlate well with the changes in process dynamics, then it is possible to reduce the effects of parameter variations simply by varying the parameters of the controller as functions of auxiliary variables, called as gain scheduling control. A gain scheduling adaptive and classical pi control strategies are designed and evaluated for continuous stirred tank reactor, which shows appreciable non-linear characteristics through simulations. The performance of each designed controller is evaluated based on certain performance indices.
S. Anbu, N. Jaya, and R. Murugan
IEEE
The Conventional control approach often fails to show better results particularly for a non-linear systems and in the systems, whose parameters changes over a period of time for a variety of reasons. Alternatively, adaptive control strategies bring out very good performance. Multi-Model PID control is a special class of adaptive control strategies referred to as switching control or multi model adaptive control. The Multi-Model control and gain scheduling control strategies are designed and evaluated for Continuous Stirred Tank Reactor through simulations.
G. Arthanareeswaran, P. Thanikaivelan, N. Jaya, D. Mohan, and M. Raajenthiren
Elsevier BV
N. Jaya, G. Arthanareeswaran, D. Mohan, M. Raajenthiren, and P. Thanikaivelan
Informa UK Limited
Abstract The permeate flux and retention of aqueous solutions of poly(ethylene glycols) (PEG) with different molecular weights ranging from 4000 to 35,000 Da have been investigated using various compositions such as 100/0, 90/10, 80/20, and 70/30 wt% of cellulose acetate (CA)/sulfonated poly(etheretherketone) (SPEEK) ultrafiltration blend membranes. The factors affecting the rejection rate and permeate flux such as molecular weight of PEGs, concentration of the solute, composition of the membranes, and transmembrane pressures have been studied. It is seen that the increase in the concentration of PEG results in the decreased permeate flux and increased rejection for increasing CA content in the membranes. A similar observation in the flux and rejection was made for increasing the molecular weight of PEGs. Further, the mass transfer, diffusion, and true retention coefficients of the solute have been studied with different operating variables like molecular weight and concentration of PEGs. An increase in the molecular weight of PEGs results in the decrease of mass transfer and diffusion coefficients and increase of the true retention coefficient. A reverse trend is observed with increasing concentrations of PEG.