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
19
Scopus Publications
424
Scholar Citations
11
Scholar h-index
14
Scholar i10-index
Scopus Publications
Reliable Assessment of Oil-Paper Insulation Used in Power Transformer Using Concise Dielectric Response Measurement Deepak Mishra, Arijit Baral, Sivaji Chakravorti IEEE Transactions on Dielectrics and Electrical Insulation, 2023 Oil-impregnated paper is usually the preferred choice of insulation in power transformers. The working life of any transformer depends on its insulation condition. The paper conductivity, moisture content, and dissipation factor of solid insulation are a few crucial parameters used to determine the insulation condition. The reliable estimation of such parameters for the diagnosis of solid insulation requires a complete profile of polarization current, which is time-consuming. Hence, utilities always prefer noninvasive and rapid techniques to predict insulation conditions and minimize shutdown time. The proposed technique is based on short-duration polarization current data. The present manuscript suggested a method that uses the initial decay rate (IDR) of recorded polarization current data to predict various performance parameters related to paper insulation. In order to show the effectiveness of the proposed method, the analysis is performed on the data measured from various in situ transformers.
Importance of Depolarization Current in the Diagnosis of Oil-Paper Insulation of Power Transformer Alok Kumar, Deepak Mishra, Arijit Baral IEEE Access, 2023 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.
A Novel and Fast Approach for Sensing Activation Energy for Reliable Health Assessment of Power Transformer D. Mishra, A. Baral, S. Chakravorti IEEE Sensors Journal, 2022 Activation energy represents the average rate of interaction between aging by-products and cellulose. Activation energy is a crucial parameter that can be used to identify the remaining life of insulation in high voltage (HV) equipment. Existing noninvasive methods take a significantly longer time to sense activation energy for given insulation. This is primarily due to the volume of data required for such analysis, which generally takes significant time to measure. This work reports a noninvasive and effective approach to predict activation energy of oil–paper insulation using a dielectric response that is recorded for a very short span of time. The proposed method requires polarization current data sensed for a few seconds (15–20 s) to operate. The initial decay rate (DR) of the sensed data is found to be sensitive to the activation energy. This feature of the initial DR is utilized to sense the value of activation energy within a short duration. The proposed technique utilizes the current sensor (present within an electrometer) more efficiently. This facilitates the measurement of a highly accurate polarization profile and ensures reliable activation energy estimation. The proposed methodology has been successfully applied to data collected from a few real-life transformers. Reported results show that the suggested method provides satisfactory results with good accuracy.
Prediction of Insulation Sensitive Parameters of Power Transformer Using Detrended Fluctuation Analysis Based Method Saurabh Dutta, Jagriti Dey, Deepak Mishra, Arijit Baral, Sivaji Chakravorti IEEE Transactions on Power Delivery, 2022 Utilities prefer to perform a condition-based assessment of power transformer insulation in the least possible shutdown time. It is essential to estimate the values of various insulation condition sensitive performance parameters with higher accuracy. In the present work, a technique for the estimation of performance parameters, moisture content of paper, dissipation factor of the entire oil-paper insulation, paper conductivity, and activation energy is proposed. The evaluation of these parameters using reported techniques requires complete measurement of polarization and depolarization current profile, which requires around 20000 s of measurement time. The present method uses a forecasted polarization current profile obtained from 600 s of measured polarization current data. Detrended Fluctuation Analysis is applied to the forecasted polarization current data obtained from various in-service power transformers to obtain a suitable parameter. It is shown that this parameter maintains well-defined relationships with parameters; moisture content of paper, dissipation factor of oil-paper insulation, paper conductivity, and activation energy. The proposed technique is beneficial for utilities as it eliminates the requirement of measuring depolarization current and return voltage measurement for estimating activation energy.
A Novel Method to Predict Severity of Thermal Aging and Degree of Polymerization for Reliable Diagnosis of Dry-Type Insulation S. Mishra, A. Baral, D. Mishra, S. Chakravorti IEEE Transactions on Dielectrics and Electrical Insulation, 2022 The effect of thermal aging on Nomex-paper-based vacuum pressure impregnation (VPI) insulation is reported in this article. The frequency-dependent dielectric loss of Nomex-paper-based VPI dry insulation is affected after significant thermal aging. This variation in dielectric loss of the insulation maintains a good correlation with the duration of thermal aging. A new parameter sensitive to the severity of thermal aging is also introduced. To identify the parameter, the excitation voltage waveform and the corresponding insulation response at a given frequency are required. Determining the parameter does not require denoising of recorded waveforms, reducing the overall computational burden. Based on the newly introduced parameter, a cost-effective method is proposed to predict the dielectric loss and degree of polymerization (DP) in a thermally aged VPI-type dry insulation. The proposed method employs the intermediate frequency range and hence does not require time-consuming low-frequency measurements.
Performance Evaluation : Anti-windup Two-loop PID Controller for Rotary Single Inverted Pendulum Sandeep Pandey, Prakash Dwivedi, Deepak Mishra 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2021, 2021 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.
Estimation of de-trapped charge for diagnosis of transformer insulation using short-duration polarisation current employing detrended fluctuation analysis Saurabh Dutta, Deepak Mishra, Arijit Baral, Sivaji Chakravorti High Voltage, 2020 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.
Investigation related to performance parameter estimation of power transformer insulation using interfacial charge D. Mishra, R. Verma, A. Baral, S. Chakravorti IEEE Transactions on Dielectrics and Electrical Insulation, 2020 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.
Condition Assessment of Power Transformer Insulation Using Short-Duration Time-Domain Dielectric Spectroscopy Measurement Data Deepak Mishra, Arijit Baral, Nasirul Haque, Sivaji Chakravorti IEEE Transactions on Instrumentation and Measurement, 2020 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.
De-noising of time-domain spectroscopy data for reliable assessment of power transformer insulation Deepak Mishra, Arijit Baral, Sivaji Chakravorti Iet Generation Transmission and Distribution, 2020 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.
The future of global Ramsar wetlands under intensifying precipitation extremes: Arid regions as emerging hotspots D Mishra, NN Kumar, S Singh, MK Goyal Environmental Impact Assessment Review 118, 108275 , 2026 2026 Citations: 2
A non-invasive measurement-based modeling for assessing power transformer aging and reliability D Mishra, V Chopra, D Mishraa, A Baral Measurement, 120968 , 2026 2026
Selective Functionalization of 1-substituted-3-arylquinoxalin-2 (1 H)-ones via C–H activation P Kumar, S Dutta, D Mishra, N Kumar RSC Advances 16 (19), 17005-17020 , 2026 2026 Citations: 1
Short-Duration Current Analysis for Predictive Aging Estimation in Power Transformer Insulation D Mishra, A Baral, S Chakravorti IEEE Transactions on Power Delivery , 2025 2025
An efficient and fast nondestructive testing method for estimating DP value of oil–paper insulation D Mishra, A Baral, S Chakravorti IEEE Transactions on Plasma Science , 2025 2025 Citations: 1
Spatial differentiation of proteome in cervical cancer tissues using Imaging Mass Spectrometry A Baliyan, I Mohapatra, S Paul, AA Safiriyu, SK Mondal, D Mishra, ... bioRxiv, 2025.04. 12.648495 , 2025 2025
Compensating the Impact of Residual Energy on Time Domain Dielectric Response Using Time-Varying Model CM Banerjee, D Mishra, A Baral, S Chakravorti IEEE Sensors Journal , 2025 2025
Selective functionalization of 2-phenyl-4H-benzo [d][1, 3] oxazin-4-ones via C–H activation P Kumar, S Dutta, D Batra, D Mishra, D Kumar, G Bhalla, BK Singh Tetrahedron 173, 134466 , 2025 2025 Citations: 3
Investigation of the Quenching Factor for Silicon and Germanium Using Molecular Dynamics Simulations D Mishra, L Singh, ST Lin, HTK Wong, V Singh The DAE-BRNS High Energy Physics (HEP) Symposium, 1505-1508 , 2024 2024
HVDC Submarine Cable: A Perspective towards Accomplishing UN’s SDGs for Indian Marine Ecology S Parveen, D Mishra, D Mishra Climate Crisis and Sustainable Solutions: Strategies for Adaptation … , 2024 2024
A Time-Efficient and Innovative Method to Determine the DP Value of Power Transformer Insulation D Mishra, S Parveen, A Baral, S Chakravorti 2024 IEEE 7th International Conference on Condition Assessment Techniques in … , 2024 2024
Visual Cryptography Technique for Enhancing the Security and Contrastness of Image Transaction S Kumari, S Pandey, D Mishra 2024 5th International Conference on Smart Electronics and Communication … , 2024 2024 Citations: 1
Reliable sensing of insulation sensitive performance parameters using time domain-based measurement at different temperatures D Mishra, S Parveen, A Baral, S Chakravorti IEEE Sensors Journal 23 (20), 25411-25419 , 2023 2023 Citations: 4
A nonlinear regression-based approach to assess transformer insulation condition using dielectric response recorded for short duration D Mishra, A Baral, S Chakravorti IEEE Transactions on Instrumentation and Measurement 72, 1-9 , 2023 2023 Citations: 7
Importance of depolarization current in the diagnosis of oil-paper insulation of power transformer A Kumar, D Mishra, A Baral IEEE Access 11, 56858-56864 , 2023 2023 Citations: 11
Reliable assessment of oil-paper insulation used in power transformer using concise dielectric response measurement D Mishra, A Baral, S Chakravorti IEEE Transactions on Dielectrics and Electrical Insulation 30 (3), 1255-1264 , 2023 2023 Citations: 20
A xanthene-based probe with dual reaction sites enables fluorescence turn-on detection of thiophenol in an aqueous medium B Priya, N Kumar, D Mishra New Journal of Chemistry 47 (6), 2942-2948 , 2023 2023 Citations: 5
Analysis of thermal behaviour of a microprocessor using simulation and experiment N Das, S Mondal, D Mishra Indian Maritime University, Kolkata Campus , 2023 2023
Sensorless field oriented control of AC induction motor using PI, PD & PID controllers NJ Antony, D Mishra, S Parveen 2022 IEEE North Karnataka Subsection Flagship International Conference … , 2022 2022 Citations: 7
A novel and fast approach for sensing activation energy for reliable health assessment of power transformer D Mishra, A Baral, S Chakravorti IEEE Sensors Journal 22 (21), 21145-21152 , 2022 2022 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Assessment of interfacial charge accumulation in oil-paper interface in transformer insulation from polarization-depolarization current measurements D Mishra, N Haque, A Baral, S Chakravorti IEEE Transactions on dielectrics and electrical insulation 24 (3), 1665-1673 , 2017 2017 Citations: 91
Condition assessment of power transformer insulation using short-duration time-domain dielectric spectroscopy measurement data D Mishra, A Baral, N Haque, S Chakravorti IEEE Transactions on Instrumentation and Measurement 69 (7), 4404-4411 , 2019 2019 Citations: 46
Use of interfacial charge for diagnosis and activation energy prediction of oil-paper insulation used in power transformer D Mishra, S Dutta, A Baral, N Haque, S Chakravorti IEEE Transactions on Power Delivery 34 (4), 1332-1340 , 2019 2019 Citations: 32
Reduction of time domain insulation response measurement duration for fast and effective diagnosis of power transformer D Mishra, AK Pradhan, A Baral, S Chakravorti IEEE Transactions on Dielectrics and Electrical Insulation 25 (5), 1932-1940 , 2018 2018 Citations: 31
Effect of charge accumulated at oil–paper interface on parameters considered for power transformer insulation diagnosis D Mishra, N Haque, A Baral, S Chakravorti IET Science, Measurement & Technology 12 (3), 411-417 , 2018 2018 Citations: 27
Estimation of de‐trapped charge for diagnosis of transformer insulation using short‐duration polarisation current employing detrended fluctuation analysis S Dutta, D Mishra, A Baral, S Chakravorti High Voltage 5 (5), 636-641 , 2020 2020 Citations: 21
Reliable assessment of oil-paper insulation used in power transformer using concise dielectric response measurement D Mishra, A Baral, S Chakravorti IEEE Transactions on Dielectrics and Electrical Insulation 30 (3), 1255-1264 , 2023 2023 Citations: 20
A novel method to predict severity of thermal aging and degree of polymerization for reliable diagnosis of dry-type insulation S Mishra, A Baral, D Mishra, S Chakravorti IEEE Transactions on Dielectrics and Electrical Insulation 29 (2), 631-640 , 2022 2022 Citations: 16
New approach to design D-flip flop and two bit down counter using optical micro-ring resonator for high speed data processing N Verma, D Mishra SN Applied Sciences 2, 1–13 , 2020 2020 Citations: 15
Prediction of insulation sensitive parameters of power transformer using detrended fluctuation analysis based method S Dutta, J Dey, D Mishra, A Baral, S Chakravorti IEEE Transactions on Power Delivery 37 (3), 1963-1973 , 2021 2021 Citations: 14
Compensating the effect of residual dipole energy on dielectric response for effective diagnosis of power transformer insulation D Mishra, A Baral, S Chakravorti IET Science, Measurement & Technology 12 (3), 314-322 , 2018 2018 Citations: 14
Importance of depolarization current in the diagnosis of oil-paper insulation of power transformer A Kumar, D Mishra, A Baral IEEE Access 11, 56858-56864 , 2023 2023 Citations: 11
De‐noising of time‐domain spectroscopy data for reliable assessment of power transformer insulation D Mishra, A Baral, S Chakravorti IET Generation, Transmission & Distribution 14 (8), 1500-1507 , 2020 2020 Citations: 11
Investigation related to performance parameter estimation of power transformer insulation using interfacial charge D Mishra, R Verma, A Baral, S Chakravorti IEEE Transactions on Dielectrics and Electrical Insulation 27 (4), 1247-1255 , 2020 2020 Citations: 10
A nonlinear regression-based approach to assess transformer insulation condition using dielectric response recorded for short duration D Mishra, A Baral, S Chakravorti IEEE Transactions on Instrumentation and Measurement 72, 1-9 , 2023 2023 Citations: 7
Sensorless field oriented control of AC induction motor using PI, PD & PID controllers NJ Antony, D Mishra, S Parveen 2022 IEEE North Karnataka Subsection Flagship International Conference … , 2022 2022 Citations: 7
Estimation of paper conductivity from short duration polarisation–depolarisation current for diagnosis of power transformer D Mishra, N Haque, A Baral, S Chakravorti IET Science, Measurement & Technology 13 (8), 1178-1185 , 2019 2019 Citations: 7
Influence of temperature on interfacial charge of power transformer insulation S Dutta, D Mishra, N Haque, AK Pradhan, A Baral, S Chakravorti IET Science, Measurement & Technology 13 (7), 1059-1067 , 2019 2019 Citations: 6
A xanthene-based probe with dual reaction sites enables fluorescence turn-on detection of thiophenol in an aqueous medium B Priya, N Kumar, D Mishra New Journal of Chemistry 47 (6), 2942-2948 , 2023 2023 Citations: 5
Effect of charge accumulated at oil-paper interface on parameters considered for power transformer insulation diagnosis (vol 12, pg 411, 2017) D Mishra, N Haque, A Baral IET SCIENCE MEASUREMENT & TECHNOLOGY 12 (7), 937-937 , 2018 2018 Citations: 5