Dr. Deepak Mishra
@imu.edu.in
Assistant Professor, Marine Engineering Department
Indian Maritime Univeristy Kolkata
Dr. Deepak Mishra received the Ph.D. degree from IIT(ISM) Dhanbad, India, in 2020. He is currently working as an Assistant Professor with the Department of Marine Engineering and Technology, Indian Maritime University Kolkata, India. His current field of interest includes condition monitoring of high-voltage power
equipment.
RESEARCH INTERESTS
High Voltage, power system,Condition monitoring of high voltage equipments
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Ramchandra Gurjar and Deepak Kumar Mishra
Universitas Ahmad Dahlan
Deepak Mishra, Arijit Baral, and Sivaji Chakravorti
Institute of Electrical and Electronics Engineers (IEEE)
Alok Kumar, Deepak Mishra, and Arijit Baral
Institute of Electrical and Electronics Engineers (IEEE)
Recently, Polarization Depolarization current (PDC) measurement is widely accepted time domain spectroscopy-based method for assessing the insulation condition. Various performance parameters like Dissipation factor (%tan $\\delta $ ), Paper Moisture (%pm), Dielectric Adsorption Ratio (DAR), Polarization index (PI) etc. can be estimated by analyzing the PDC data. During field measurement various factors influences the recorded PDC data. As per existing literature, presence of low frequency noise, effect of temperature variation and influence of residual charge are common during field measurement. These factors significantly affect recorded polarization current and hence estimated performance parameters. Hence, analysis using recorded polarization current data may provide misleading information regarding insulation condition. Under such practical situation where polarization current is affected by above mentioned factors that generally observed during field measurement, depolarization current should be used for analysis of insulation condition. The depolarization current does not influence by such external factors. The present work shows the importance of depolarization current where polarization current is influenced by external low frequency noise and residual charge. The analysis firstly applied on sample prepared in the laboratory and then on data collected from real life in-situ transformers. The results obtained from the analysis shows that the data obtained from depolarization current is more reliable.
Prashant Yadav, P. P. Bansod, D. K. Mishra, and Rupali Jarwal
Springer Nature Singapore
D. Mishra, A. Baral, and S. Chakravorti
Institute of Electrical and Electronics Engineers (IEEE)
Divya K. Mishra, Paul C. Hackley, Aaron M. Jubb, Margaret M. Sanders, Shailesh Agrawal, and Atul K. Varma
Elsevier BV
Rajesh Khatri and D Mishra
ScopeMed
Saurabh Dutta, Jagriti Dey, Deepak Mishra, Arijit Baral, and Sivaji Chakravorti
Institute of Electrical and Electronics Engineers (IEEE)
S. Mishra, A. Baral, D. Mishra, and S. Chakravorti
Institute of Electrical and Electronics Engineers (IEEE)
Nikhil John Antony, Deepak Mishra, and Shabnam Parveen
IEEE
With the Field-Oriented Control (FOC) vector approach, the control of the induction motor behaves similar to that of a separately excited dc motor. The torque and flux components in the d-q rotating reference frame can be independently controlled with the help of unit vectors. The main focus of the present work is to show the effective utilization and feasibility of field-oriented control of AC induction motors using PI, PD, and PID controllers without using any physical sensors and using observers. The speed, torque, and position in this scheme are estimated, analyzed, and simulated with the help of a motor control block-set in MATLAB/Simulink for a (10HP, squirrel cage induction motor) to a VSI using the SVPWM for effective modulation.
D. Mishra, S. Pandey, and A. Baral
IEEE
A novel methodology is suggested to predict the condition of Oil-paper Insulation (OPI), popularly used in power transformers. The proposed method is based on transient measurement of polarization current data from laboratory samples. Initially, complete polarization current profile is used to formulate an insulation model and then find the rise time of the system. After that, a relation is provided between rise time and measured performance parameters like moisture content(%pm). Further, another relation is suggested between rise time and the initial decay rate of recorded data. Hence, just by knowing the value of the initial decay rate, the value of crucial parameters like %pm can be evaluated using the proposed relationship.
R. C. Gurjar and D.K. Mishra
Informa UK Limited
Divya Kumari Mishra, Atul Kumar Varma, Vinod Atmaram Mendhe, Shailesh Agrawal, Bhagwan Das Singh, and Paul C. Hackley
American Chemical Society (ACS)
Sandeep Pandey, Prakash Dwivedi, and Deepak Mishra
IEEE
In this paper, two loop Anti-windup PID controller is designed for Set-point tracking of Rotating arm and balancing vertical position of Pendulum of Rotary Single Inverted Pendulum. Controller ((feedback)) gains are obtained via pole placement and tuned by using the LQR technique. Comparative analysis of observer based pole placement controller, LQR and two-loop Anti-windup PID controller are experimentally illustrated. Steady-state error persists during the operation of two loop PD controller. In order to reduce this steady state error, integral term is added in controller. Due to violation of voltage constraints, an undesirable phenomena known as integral windup occurs. To overcome integral windup, Anti-windup technique (conditional integration) is used with two loop PID controller. Experimental result shows that proposed two loop Anti-windup PID controller gives better set-point tracking and a minimum steady-state error as compared to other controllers.
Vaibhav Pardhi, P. P. Bansod, D. K. Mishra, and Rupali Jarwal
Springer Singapore
Lavesh Jain, P. P. Bansod, D. K. Mishra, and Rupali Jarwal
Springer Singapore
Dipika Simariya, R. C. Gurjar, and D. K. Mishra
Springer Singapore
Pooja Sabre, D. K. Mishra, and P. P. Bansod
IEEE
This paper has proposed a new architecture for variable gain amplifier (VGA) built in the 0.1S$\\mu$m CMOS technology. In this paper, a new definitive approach is proposed for achieving a large band range of DC gain, acceptable bandwidth (-3dB) with low power consumption and high linearity. This proposed VGA was designed on the Cadence Virtuoso tool for receiver system used in RF, consisting of trans-impedance amplifier and trans-conductor amplifier which are in linear mode. This VGA also attains DC gain range from -35 to 19 dB, and bandwidth is around 25.8 MHz (-3dB). Meanwhile, the proposed VGA, Unity Gain Bandwidth of is nearly 3.32GHz with noise Figure nearly 20dB. Overall circuit consumes total power approximately 2.3mW.
Saurabh Dutta, Deepak Mishra, Arijit Baral, and Sivaji Chakravorti
Institution of Engineering and Technology (IET)
Researchers have shown that the value of charge carriers, de-trapped from the oil–paper interface of power transformer insulation, is useful in carrying out the diagnosis. However, the evaluation of the de-trapped charge requires the analysis of polarisation–depolarisation currents. Being an off-line time-consuming process, the measurement and analysis of polarisation and depolarisation current (PDC) data are not practically advantageous. The study presents a detrended fluctuation analysis-based technique to estimate the magnitude of normalised de-trapped charge using the polarisation current measured for a short duration. Using the proposed technique, the requirement of measuring the complete PDC data, for diagnosis purposes, can be eliminated. Further, the technique also eliminates the requirement of depolarisation current which in turn facilitates a reduction in equipment shutdown time. The applicability of the proposed technique is tested on the data obtained from several real-life power transformers.
Bhawana Garg and D.K. Mishra
Elsevier BV
Abstract Analog to Digital Converter (ADC) is a significant part of any electronic measurement and instrumentation system. It affects the overall accuracy of the system, therefore it should be characterized and tested precisely. The ADC testing methods, available in literature use deterministic signals as stimuli and have certain limitations. This paper presents statistical testing of ADC based on the cumulative histogram technique with white Gaussian noise as stimuli. The proposed method is not much more explored in literature and shows improvement in the estimation of parameters. A large number of samples of Gaussian noise is simulated and applied to the simulated 5–10 bit ADC. The cumulative histogram is estimated, and the code transition level is calculated to obtain the transfer characteristics of ADC. The linear regression method is employed on the transfer characteristics and the best-fit line is obtained. Corrections have been applied to nullify the gain and offset error. Comparative analysis of the transfer characteristics of simulated ideal and actual ADC will lead to develop the algorithm for the estimation of static parameters Gain, offset, Integral and Differential nonlinearities, and the Effective Number of Bits. The analytical expression for the precision measurement of these parameters is derived. Simulation results are presented in support of the derived expression of the proposed method. Obtained results are compared with the results presented in the literature and hence the effectiveness of the method.
D. Mishra, R. Verma, A. Baral, and S. Chakravorti
Institute of Electrical and Electronics Engineers (IEEE)
In the present paper, geometric capacitance is used as a normalization factor instead of DC insulation resistance. The results suggest geometric capacitance is more efficient in reducing geometry effect on the DC-trapped charge. The influence of normalizing deep charge using DC insulation resistance and geometric capacitance and their effect on estimating various insulation sensitive parameters are compared in this paper.
Deepak Mishra, Arijit Baral, Nasirul Haque, and Sivaji Chakravorti
Institute of Electrical and Electronics Engineers (IEEE)
Utilities prefer noninvasive methods for assessing the condition of power transformer insulation. Analysis of polarization–depolarization current (PDC) is one such popular method. One such analysis involves the estimation of trapped charge released from the interfacial region of oil–paper insulation. The literature shows that such charges can be reliably used for the diagnosis of transformer insulation. However, such analysis requires a complete profile of PDC. PDC measurement (an offline technique) takes a large amount of time (several hours) to complete. The magnitude of PDC data for a larger value of time is also sensitive to changes in environmental conditions and field noise as its magnitude is low. Hence, a reliable estimation of detrapped charge may require numerous PDC measurements. This situation is not convenient for utilities as it prolongs shut down time. In this article, a method has been proposed which is capable of estimating detrapping charge using PDC data measured for a short span of time. The proposed method is tested on data collected from several real-life in-service transformers.
Deepak Mishra, Arijit Baral, and Sivaji Chakravorti
Institution of Engineering and Technology (IET)
Polarisation-depolarisation current (PDC) measurement and its analysis is a popular technique for assessing the condition of transformer insulation. Owing to the low magnitude of PDC, recording noise-free PDC data from in-situ power transformers is a challenge. Once the relaxation current data get affected by noise, it becomes difficult to formulate insulation model (as recorded data loses its characteristic shape). This further makes the data difficult to analyse and predict insulation condition. In this study, two de-noising techniques are discussed (one is based on Wavelet Transform while the other is based on Stockwell Transform) for eliminating low-frequency non-stationary noise from recorded PDC data. Comparison between these two techniques suggests de-noising using Stockwell Transform is advantageous over wavelet analysis. The proposed methodology is first tested on data recorded from the sample prepared in the laboratory and then on data measured from real-life in-service power transformer.
N. Verma and D. Mishra
Springer Science and Business Media LLC
S. R. Mansore, R. S. Gamad, and D. K. Mishra
World Scientific Pub Co Pte Lt
Data stability, write ability and leakage power are major concerns in submicron static random access memory (SRAM) cell design. This paper presents an 11T SRAM cell with differential write and single-ended read. Proposed cell offers improved write ability by interrupting its ground connection during write operation. Separate read buffer provides disturb-free read operation. Characteristics are obtained from HSPICE simulation using 32[Formula: see text]nm high-performance predictive technology model. Simulation results show that the proposed cell achieves 4.5[Formula: see text] and 1.06[Formula: see text] higher read static noise margin (RSNM) as compared to conventional 6T (C6T) and PNN-based 10T cells, respectively, at 0.4[Formula: see text]V. Write static noise margin (WSNM) of the proposed design is 1.65[Formula: see text], 1.71[Formula: see text] and 1.77[Formula: see text] larger as compared to those of C6T, PPN-based 10T and PNN-based 10T cells, respectively, at 0.4V. Write “1” delay of the proposed cell is 0.108[Formula: see text] and 0.81[Formula: see text] as those of PPN10T and PNN10T cells, respectively. Proposed circuit consumes 1.40[Formula: see text] lesser read power as compared to PPN10T cell at 0.4[Formula: see text]V. Leakage power of the proposed cell is 0.35[Formula: see text] of C6T cell at 0.4[Formula: see text]V. Proposed 11T cell occupies 1.65[Formula: see text] larger area as compared to that of conventional 6T.