Dr Gampa V P Chandra Sekhar Yadav

@mictech.edu.in

Associate Professor, Department of ECE
DVR & Dr HS MIC College of Technology

Dr Gampa V P Chandra Sekhar Yadav


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https://researchid.co/sekhar.yadav2008

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Signal Processing, Polymers and Plastics, Metals and Alloys
13

Scopus Publications

125

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Time-Frequency Based Thermal Imaging: An Effective Tool for Quantitative Analysis
    G. V. P. Chandra Sekhar Yadav, V. S. Ghali, S. K. Subhani
    Russian Journal of Nondestructive Testing, 2023
    Abstract Recent achievements in TWDAR (thermal wave detection and ranging) technology has made it possible to utilize a range of thermal imaging techniques for analyzing the characteristics of materials used in various industries. Moreover, the distinctive features of nonstationary thermal imaging have piqued attention of researchers in non-destructive evaluation (NDE). For a detailed defect visualization, it is essential to employ a dependable processing technique that accurately extracts the relevant time–frequency components from the chirped thermal response. In this study, a nonstationary thermal wave imaging technique is utilized by using quadratic frequency modulation (QFM) in conjunction with a cutting-edge technique of fractional Fourier transform (FrFT), to assess material quality. An experimentation has been carried out on carbon fiber reinforced polymer (CFRP) and glass fiber reinforced polymer (GFRP) samples with defects of different sizes at varying depths, to evaluate their characteristics. Experimental results have validated the efficiency of the proposed FrFT processing approach through rigorous qualitative and quantitative analysis, which has involved measurements of some merit figures, such as signal-to-noise ratio (SNR), full width at half maxima (FWHM), and probability of detection (PoD). From the results, it is evident that the proposed method provides a distinct and precise visualization of defects promising to be a useful technique in identifying and retrieving information of internal defects in materials.
  • Deep learning-based sustainable subsurface anomaly detection in Barker-coded thermal wave imaging
    Muzammil Parvez, Ali Baig Mohammad, Venkata Subba Rao Ghali, Gampa Chandra Sekhar Yadav, Gopi Tilak Vesala, Atala Vijaya Lakshmi, Aravindhan Alagarsamy, Sivasubramanian Palanisamy, John Kechagias, Carlo Santulli
    International Journal of Advanced Manufacturing Technology, 2023
  • Defect Detection using Depth Resolvable Statistical Post Processing in Non-Stationary Thermal Wave Imaging
    G.V.P. Chandra Sekhar Yadav, V. S. Ghali, Naik R. Baloji
    Journal of Information Systems and Telecommunication, 2022
    Defects that are generated during various phases of manufacturing or transporting limit the future applicability and serviceability of materials. In order to detect these defects a non-destructive testing modality is required. Depth resolvable subsurface anomaly detection in non-stationary thermal wave imaging is a vital outcome for a reliable prominent investigation of materials due to its fast, remote and non-destructive features. The present work solves the 3-Dimensional heat diffusion equation under the stipulated boundary conditions using green’s function based analytical approach for recently introduced quadratic frequency modulated thermal wave imaging (with FLIR SC 655A as infrared sensor with spectral range of 7.5-14µm and 25 fps) to explore the subsurface details with improved sensitivity and resolution. The temperature response obtained by solving the 3-Dimensional heat diffusion equation is used along with random projection-based statistical post-processing approach to resolve the subsurface details by imposing a band of low frequencies (0.01-0.1 Hz) over a carbon fiber reinforced polymer for experimentation and extracting orthonormal projection coefficients to improve the defect detection with enhanced depth resolution. Orthonormal projection coefficients are obtained by projecting the orthonormal features of the random vectors that are extracted by using Gram-Schmidt algorithm, on the mean removed dynamic thermal data. Further, defect detectability of random projection-based post-processing approach is validated by comparing the full width at half maxima (FWHM) and signal to noise ratio (SNR) of the processed results of the conventional approaches. Random projection provides detailed visualization of defects with 31% detectability even for deeper and small defects in contrast to conventional post processing modalities. Additionally, the subsurface anomalies are compared with their sizes based on full width at half maxima (FWHM) with a maximum error of 0.99% for random projection approach.
  • A Time Frequency-Based Approach for Defect Detection in Composites Using Nonstationary Thermal Wave Imaging
    G. V. P. Chandra Sekhar Yadav, V. S. Ghali, N. R. Baloji
    Russian Journal of Nondestructive Testing, 2021
    Characterization of various industrial components without impairing their future utility increases the necessity of nondestructive testing (NDT) techniques. In recent years, active thermography catches the researcher’s interest due to its distinct abilities like whole-field, contact-free, economic, defended, noninvasive, and nondestructive type of investigation. High energy deposition at low frequencies accompanied with enhanced depth resolution requirements of active thermography grabs the interest of quadratic frequency-modulated (QFM) stimulus in the recent past. On the other hand, enhanced defect detection is dependent on the extraction of an appropriate time-frequency component of chirped thermal response through a suitable processing technique. The present work employs velocity synchronous linear chirplet transformation (VSLCT) to precisely map the nonlinear chirp rate of the extracted quadratic frequency modulated thermal response. The proposed methodology is validated by carrying experimentation over carbon fiber and glass fiber reinforced polymer samples with artificially made flat bottom holes and Teflon inserts. Defect detectability of the proposed technique is quantified by comparing conventional techniques with the figure of merit (FoM) as signal to noise ratio (SNR), full width at half maxima (FWHM), and probability of detection (POD). An arduous manual inspection of processed data recommends automatic defect detection through segmentation without manual intervention. An active contour-based segmentation is performed post to VSLCT technique to facilitate the automatic visualization of defects.
  • Proper Orthogonal Decomposition-Based Coating Thickness Estimation in Quadratic Frequency Modulated Thermal Wave Imaging
    G. T. Vesala, G. V. P. Chandra Sekhar Yadav, V. S. Ghali, B. Suresh, R. B. Naik
    Lecture Notes in Mechanical Engineering, 2021
  • Greens function based analytical model for enhanced defect detection using depth resolvable non-stationary thermal wave imaging
    Journal of Green Engineering, 2020
  • Defect characterisation using pulse compression-based quadratic frequency modulated thermal wave imaging
    Shaik Subhani, Gampa V.P. Chandra Sekhar Yadav, Venkata Subbarao Ghali
    Iet Science Measurement and Technology, 2020
    Quantitative depth estimation, along with enhanced defect detectability, is of utmost importance for subsurface analysis in thermal wave imaging for a variety of applications. However, the size and the depth of the subsurface anomalies influence this quantitative analysis due to the non‐consideration of back reflection from the defect boundary in addition to three‐dimensional scattering effects. This study explores an experimental validation of an analytical model for quantitative depth analysis of subsurface anomalies in thermal wave detection and ranging using quadratic frequency‐modulated stimulation with pulse compression based signal processing approach and presents the depth resolution feature by considering the back reflection at the defect boundary. It also presents a study on the influence of the size of the anomaly and bandwidth of the stimulation on quantitative depth prediction using the experimentation carried over a carbon fibre reinforced plastic and mild steel specimen with artificial flat‐bottom holes.
  • Machine learning based automatic defect detection in non stationary thermal wave imaging
    Arpn Journal of Engineering and Applied Sciences, 2020
  • Qualitative subsurface analysis in quadratic frequency modulated thermal wave imaging
    Badugu Suresh
    International Journal of Emerging Trends in Engineering Research, 2020
    From the Past decades Non Stationary Thermal Wave Imaging (NSTWI) is enlarging as reliable eminent technology to examine various materials like Reinforced polymers and coatings used in industrial applications like aerospace, mechanical, civil appliances etc. Testing of these materials prior to usage is a challenging task which makes use of Non Destructive Testing& Evaluation(NDT&E) techniques. Present article uses a chirped Quadratic Frequency Modulated Thermal Wave Imaging (QFMTWI) to test underneath the Carbon Fiber Reinforced Polymer (CFRP) specimen. Further various post processing methods are used to visualize the subsurface details. Signal to Noise Ratio (SNR) is used as a performance metric to evaluate the performance of various post processing approaches.
  • Advanced signal processing approaches for quadratic frequency modulated thermal wave imaging
    and Suresh B
    International Journal of Emerging Trends in Engineering Research, 2019
    Non-stationary thermal wave imaging (NSTWI) which is one of the techniques of Infrared Thermal Non-Destructive Testing (IRTNDT) plays a vital role in inspecting, evaluating and analyzing various materials. With excellent capabilities for surface and sub-surface crack and back holes detection, moderate peak power and taking less time in analyzing results when compared to lock in thermography and pulsed thermography, NSTWI excel in this domain. This paper highlights comparison of various NSTWI post-processing techniques, further experimentation is done to detect defects in composites. Signal to noise ratio of each post processing technique is considered and the best technique is chosen.
  • A machine learning based approach for defect detection and characterization in non-linear frequency modulated thermal wave imaging
    and Vijaya Lakshmi A
    International Journal of Emerging Trends in Engineering Research, 2019
  • Bartlett windowed quadratic frequency modulated thermal wave imaging
    and Jaya Lakshmi R
    International Journal of Emerging Trends in Engineering Research, 2019
  • Fuzzy C-means clustering based anomalies detection in quadratic frequency modulated thermal wave imaging
    , A. Vijaya Lakshmi*, V. S. Ghali*, , Muzammil Parvez M, , G. V. P. Chandra Sekhar Yadav, , V. Gopi Tilak, and
    International Journal of Recent Technology and Engineering, 2019

RECENT SCHOLAR PUBLICATIONS

  • Time-Frequency Based Thermal Imaging: An Effective Tool for Quantitative Analysis
    GVPC Sekhar Yadav, VS Ghali, SK Subhani
    Russian Journal of Nondestructive Testing 59 (11), 1165-1176 , 2023
    2023
    Citations: 3
  • Giant renal tumor in adolescent: a diagnostic dilemma and a surgical challenge
    PM Singh, S Yadav, F Siraj, B Krishna
    2023
  • Defect Detection using Depth Resolvable Statistical Post Processing in Non-Stationary Thermal Wave Imaging
    GVP Sekhar Yadav, VS Ghali, NR Baloji
    Journal of Information Systems and Telecommunication (JIST) 2 (38), 132 , 2022
    2022
    Citations: 1
  • Proper Orthogonal Decomposition-Based Coating Thickness Estimation in Quadratic Frequency Modulated Thermal Wave Imaging
    GT Vesala, GVP Chandra Sekhar Yadav, VS Ghali, B Suresh, RB Naik
    Advances in Non-destructive Evaluation: Proceedings of NDE 2019, 51-61 , 2021
    2021
    Citations: 1
  • in Quadratic Frequency Modulated Thermal Wave Imaging
    GT Vesala, GVPCS Yadav, VS Ghali, B Suresh, RB Naik
    Advances in Non-destructive Evaluation: Proceedings of NDE 2019, 51 , 2021
    2021
  • A time frequency-based approach for defect detection in composites using nonstationary thermal wave imaging
    GVP Chandra Sekhar Yadav, VS Ghali, NR Baloji
    Russian Journal of Nondestructive Testing 57 (6), 486-499 , 2021
    2021
    Citations: 7
  • Automatic Defect Detection and Depth Visualization in Mild Steel Sample Using Quadratic Frequency Modulated Thermal Wave Imaging
    V Gopi Tilak, GV Subbarao, A Vijaya Lakshmi, B Suresh
    Journal of Physics: Conference Series 1804 (1), 012173 , 2021
    2021
    Citations: 1
  • Greens function based analytical model for enhanced defect detection using depth resolvable non-stationary thermal wave imaging
    G.V.P. Chandra Sekhar Yadav, V.S. Ghali, B. Sonali Reddy, B. Omprakash, Ch ...
    Journal of Green Engineering 10 (12), 12933-12947 , 2020
    2020
    Citations: 3
  • Defect characterisation using pulse compression-based quadratic frequency modulated thermal wave imaging
    S Subhani, GVPCS Yadav, Ghali, Venkata Subbarao
    IET Science, Measurement & Technology 14 (2), 165-172 , 2020
    2020
    Citations: 26
  • Machine learning based automatic defect detection in non stationary thermal wave imaging
    Vijayalakshmi, A. and Ghali, V.S. and Chandrasekhar Yadav, G.V.P. and ...
    ARPN Journal of Engineering and Applied Sciences 15 (2), 172-178 , 2020
    2020
    Citations: 5
  • Qualitative subsurface analysis in quadratic frequency modulated thermal wave imaging
    Suresh, B. and Nikhilesh, T. and Abhishek, T. and Balakrishna, M. and ...
    International Journal of Emerging Trends in Engineering Research 8 (1), 31-34 , 2020
    2020
  • Bartlett windowed quadratic frequency modulated thermal wave imaging
    R. Jaya Lakshmi, S. N. Sairam, G. Mounika, N. Jayaram, V. Gopi Tilak, G. V ...
    International Journal of Emerging Trends in Engineering Research 7 (11), 512-516 , 2019
    2019
  • Advanced signal processing approaches for quadratic frequency modulated thermal wave imaging
    VSG B. Suresh, M. Manorama, M. M. Bhupesh, K. Sai Kiran, G. V. P. Chandra ...
    International Journal of Emerging Trends in Engineering Research 7 (11), 599-603 , 2019
    2019
    Citations: 4
  • A machine learning based approach for defect detection and characterization in non-linear frequency modulated thermal wave imaging
    VSG A. Vijaya Lakshmi, K. V. T. Nagendra Babu, M. Sree Ram Deepak, A. Sai ...
    International Journal of Emerging Trends in Engineering Research 7 (11), 517-522 , 2019
    2019
    Citations: 9
  • Fuzzy C-means clustering based anomalies detection in quadratic frequency modulated thermal wave imaging
    V Vijaya Lakshmi, A., Ghali, V.S., Muzammil Parvez, M., Chandra Sekhar Yadav ...
    International Journal of Recent Technology and Engineering 8 (3), 4047-4051 , 2019
    2019
    Citations: 8
  • A Novel Technique for Image Restoration Using Matching Filters
    KRB K.V.V.Kumar, G.V.P.Chandra Sekhar Yadav
    International Journal of Research in Advent Technology 4 (5), 68-72 , 2016
    2016
  • Performance comparison of different variable filters for noise cancellation in real-time environment
    BA Krishna, GVPCS Yadav
    International Journal of Signal Processing, Image Processing and Pattern … , 2016
    2016
    Citations: 6
  • Study of different adaptive filter algorithms for noise cancellation in real-Time environment
    GVPCS Yadav, BA Krishna
    International journal of computer applications 96 (10), 20-25 , 2014
    2014
    Citations: 24
  • Performance of wiener filter and adaptive filter for noise cancellation in real-time environment
    GVP Chandra, S Yadav, BA Krishna, M Kamaraju
    International journal of computer applications 97 (15) , 2014
    2014
    Citations: 27

MOST CITED SCHOLAR PUBLICATIONS

  • Performance of wiener filter and adaptive filter for noise cancellation in real-time environment
    GVP Chandra, S Yadav, BA Krishna, M Kamaraju
    International journal of computer applications 97 (15) , 2014
    2014
    Citations: 27
  • Defect characterisation using pulse compression-based quadratic frequency modulated thermal wave imaging
    S Subhani, GVPCS Yadav, Ghali, Venkata Subbarao
    IET Science, Measurement & Technology 14 (2), 165-172 , 2020
    2020
    Citations: 26
  • Study of different adaptive filter algorithms for noise cancellation in real-Time environment
    GVPCS Yadav, BA Krishna
    International journal of computer applications 96 (10), 20-25 , 2014
    2014
    Citations: 24
  • A machine learning based approach for defect detection and characterization in non-linear frequency modulated thermal wave imaging
    VSG A. Vijaya Lakshmi, K. V. T. Nagendra Babu, M. Sree Ram Deepak, A. Sai ...
    International Journal of Emerging Trends in Engineering Research 7 (11), 517-522 , 2019
    2019
    Citations: 9
  • Fuzzy C-means clustering based anomalies detection in quadratic frequency modulated thermal wave imaging
    V Vijaya Lakshmi, A., Ghali, V.S., Muzammil Parvez, M., Chandra Sekhar Yadav ...
    International Journal of Recent Technology and Engineering 8 (3), 4047-4051 , 2019
    2019
    Citations: 8
  • A time frequency-based approach for defect detection in composites using nonstationary thermal wave imaging
    GVP Chandra Sekhar Yadav, VS Ghali, NR Baloji
    Russian Journal of Nondestructive Testing 57 (6), 486-499 , 2021
    2021
    Citations: 7
  • Performance comparison of different variable filters for noise cancellation in real-time environment
    BA Krishna, GVPCS Yadav
    International Journal of Signal Processing, Image Processing and Pattern … , 2016
    2016
    Citations: 6
  • Machine learning based automatic defect detection in non stationary thermal wave imaging
    Vijayalakshmi, A. and Ghali, V.S. and Chandrasekhar Yadav, G.V.P. and ...
    ARPN Journal of Engineering and Applied Sciences 15 (2), 172-178 , 2020
    2020
    Citations: 5
  • Advanced signal processing approaches for quadratic frequency modulated thermal wave imaging
    VSG B. Suresh, M. Manorama, M. M. Bhupesh, K. Sai Kiran, G. V. P. Chandra ...
    International Journal of Emerging Trends in Engineering Research 7 (11), 599-603 , 2019
    2019
    Citations: 4
  • Time-Frequency Based Thermal Imaging: An Effective Tool for Quantitative Analysis
    GVPC Sekhar Yadav, VS Ghali, SK Subhani
    Russian Journal of Nondestructive Testing 59 (11), 1165-1176 , 2023
    2023
    Citations: 3
  • Greens function based analytical model for enhanced defect detection using depth resolvable non-stationary thermal wave imaging
    G.V.P. Chandra Sekhar Yadav, V.S. Ghali, B. Sonali Reddy, B. Omprakash, Ch ...
    Journal of Green Engineering 10 (12), 12933-12947 , 2020
    2020
    Citations: 3
  • Defect Detection using Depth Resolvable Statistical Post Processing in Non-Stationary Thermal Wave Imaging
    GVP Sekhar Yadav, VS Ghali, NR Baloji
    Journal of Information Systems and Telecommunication (JIST) 2 (38), 132 , 2022
    2022
    Citations: 1
  • Proper Orthogonal Decomposition-Based Coating Thickness Estimation in Quadratic Frequency Modulated Thermal Wave Imaging
    GT Vesala, GVP Chandra Sekhar Yadav, VS Ghali, B Suresh, RB Naik
    Advances in Non-destructive Evaluation: Proceedings of NDE 2019, 51-61 , 2021
    2021
    Citations: 1
  • Automatic Defect Detection and Depth Visualization in Mild Steel Sample Using Quadratic Frequency Modulated Thermal Wave Imaging
    V Gopi Tilak, GV Subbarao, A Vijaya Lakshmi, B Suresh
    Journal of Physics: Conference Series 1804 (1), 012173 , 2021
    2021
    Citations: 1
  • Giant renal tumor in adolescent: a diagnostic dilemma and a surgical challenge
    PM Singh, S Yadav, F Siraj, B Krishna
    2023
  • in Quadratic Frequency Modulated Thermal Wave Imaging
    GT Vesala, GVPCS Yadav, VS Ghali, B Suresh, RB Naik
    Advances in Non-destructive Evaluation: Proceedings of NDE 2019, 51 , 2021
    2021
  • Qualitative subsurface analysis in quadratic frequency modulated thermal wave imaging
    Suresh, B. and Nikhilesh, T. and Abhishek, T. and Balakrishna, M. and ...
    International Journal of Emerging Trends in Engineering Research 8 (1), 31-34 , 2020
    2020
  • Bartlett windowed quadratic frequency modulated thermal wave imaging
    R. Jaya Lakshmi, S. N. Sairam, G. Mounika, N. Jayaram, V. Gopi Tilak, G. V ...
    International Journal of Emerging Trends in Engineering Research 7 (11), 512-516 , 2019
    2019
  • A Novel Technique for Image Restoration Using Matching Filters
    KRB K.V.V.Kumar, G.V.P.Chandra Sekhar Yadav
    International Journal of Research in Advent Technology 4 (5), 68-72 , 2016
    2016