Dr. Atma Ram Sahu

@giet.ac.in

Assistant Professor, Department of Mining Engineering
Godavari Institute of Engineering & Technology (A) Rajahmundry - 533296

Dr. Atma Ram Sahu


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https://researchid.co/arsahumining
I have completed my Ph.D. thesis on the topic of “Fault Analysis of Dragline using Bayesian Network and Artificial Neural Network” under the supervision of Dr. S.K. Palei, Department of Mining Engineering, Indian Institute of Technology, (BHU), Varanasi. My research interest area is related to fault diagnosis, based maintenance policy development to improve the performance using machine learning algorithm of artificial intelligence tools of heavy earthmoving machinery (HEMM). I would like to use my skill and knowledge of electrical as well as mining to promote interdisciplinary research work. I focused on using my skill and knowledge to apply in industries to improve machinery performance, especially in heavy earthmoving machinery (HEMM) based on fault analysis using machine learning algorithms of artificial intelligence tools to reduce the downtime and cost of industries.

EDUCATION

• PhD from Indian Institute of Technology (Banaras Hindu University), Varanasi, India, Department of Mining Engineering in the topic of “Fault Analysis of Dragline using Bayesian Network and Artificial Neural Network” with 9.75 coursework grade.

• M.Tech in mining engineering with 8.49 CGPA in 2015, in the topic of “Performance Study & Evaluation of Electrical Parameter of Dragline in Open Cast from National Institute of Technology Rourkela, Orrisa, India.

• B.E. from Rewa Engineering College Rewa (University RGPV Bhopal, Madhya Pradesh, India) in Electrical Engineering with 83.5% in 2012.

• XIIth from Board of Secondary Education Madhya Pradesh Bhopal with 76.67% in 2008.

• Xth from Board of Secondary Education Madhya Pradesh Bhopal with 72.2% in 2006.

RESEARCH INTERESTS

Fault diagnosis, Maintainability, Reliability and System Safety
12

Scopus Publications

214

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Root Cause Analysis of Underground Mines Accident Using Bayesian Network Model
    AR Sahu, S Prakash, VK Kashi
    Asian Mining Congress, 267-276 , 2025
    2025.0
  • Investigational Analysis of Spontaneous Combustion Susceptibility
    VK Kash, AR Sahu
    Asian Mining Congress, 923-936 , 2025
    2025.0
  • A Laboratory Evaluation of Haul Road Dust Suppression Using Water Soluble PAM & PAM-co-PAMPS Polymers
    VK Kashi, AR Sahu, S Krishnamoorthi
    Aerosol Science and Engineering, 1-16 , 2025
    2025.0
  • Potential hazard analysis of accidents in Indian underground mines using Bayesian network model
    AR Sahu, VK Kashi
    International Journal of System Assurance Engineering and Management 16 (4 … , 2025
    2025.0
    Citations: 3
  • A laboratory study on application of synthesised amylopectin-grafted-polyacrylamide (AP-g-PAM) on coal mine haul road dust emission at different atmospheric temperatures
    VK Kashi, NC Karmakar, S Krishnamoorthi, P Adhikary, AR Sahu
    Journal of The Institution of Engineers (India): Series D 105 (1), 255-262 , 2024
    2024.0
    Citations: 5
  • Dust Suppression of Haul Road in Opencast Coal Mine Using Laboratory Synthesized Polymer
    VK Kashi, AR Sahu, B Suman, R Kumar
    International Conference on Sustainable and Innovative Mining Practices, 35-46 , 2023
    2023.0
    Citations: 3
  • Utilization of Fly-Ash in the Backfilling of Void in Underground Mines
    VK Kashi, AR Sahu, R Kumar
    Asian Mining Congress, 267-275 , 2023
    2023.0
    Citations: 1
  • Utilization of Fly-Ash in the Backfilling of Void
    VK Kashi¹, AR Sahu, R Kumar
    Proceedings of the 10th Asian Mining Congress 2023: Roadmap for Best Mining … , 2023
    2023.0
  • Data‐driven fault diagnosis approaches for industrial equipment: A review
    AR Sahu, SK Palei, A Mishra
    Expert Systems, e13360 , 2023
    2023.0
    Citations: 102
  • Fault analysis of dragline subsystem using Bayesian network model
    AR Sahu, SK Palei
    Reliability Engineering & System Safety 225, 108579 , 2022
    2022.0
    Citations: 34
  • Real-time fault diagnosis of HEMM using Bayesian Network: A case study on drag system of dragline
    AR Sahu, SK Palei
    Engineering Failure Analysis 118, 104917 , 2020
    2020.0
    Citations: 29
  • Fault prediction of drag system using artificial neural network for prevention of dragline failure
    AR Sahu, SK Palei
    Engineering Failure Analysis 113, 104542 , 2020
    2020.0
    Citations: 31
  • Failure mode, effects and criticality analysis of dragline components and evaluation of risk priority number for effective maintenance planning
    SKP Atma Ram Sahu
    Journal of Mines, Metals & Fuels 68 (5), 166–172 , 2020
    2020.0
    Citations: 1
  • Reliability analysis of a dragline for productivity improvement: A case study
    Atma Ram Sahu, Sanjay Kumar Palei
    Journal of Materials & Metallurgical Engineering 8 (1), 62-69 , 2018
    2018.0
    Citations: 1
  • Drive Technology of a Dragline in Open Cast Mines
    A Ram, H Naik
    The Indian Mining & Engineering Journal 54 (2), 10-20 , 2015
    2015.0
  • Economical operation & estimation of operating cost of draglines in opencast mines
    AR Sahu, H Naik
    The Indian Mining and Engineering Journal , 2015
    2015.0
    Citations: 4
  • Performance Study & Evaluation of Electrical Parameter of Dragline in Open Cast Mines
    AR Sahu
    National Institute of Technology, Rourkela, Odisha , 2015
    2015.0
  • Haul Road Dust Reduction Using Hydrolysed-Polyacrylamide: A Laboratory Study
    VK Kashi, NC Karmakar, S Krishnamoorthi, AR Sahu

MOST CITED SCHOLAR PUBLICATIONS

  • Data‐driven fault diagnosis approaches for industrial equipment: A review
    AR Sahu, SK Palei, A Mishra
    Expert Systems, e13360 , 2023
    2023.0
    Citations: 102
  • Fault analysis of dragline subsystem using Bayesian network model
    AR Sahu, SK Palei
    Reliability Engineering & System Safety 225, 108579 , 2022
    2022.0
    Citations: 34
  • Fault prediction of drag system using artificial neural network for prevention of dragline failure
    AR Sahu, SK Palei
    Engineering Failure Analysis 113, 104542 , 2020
    2020.0
    Citations: 31
  • Real-time fault diagnosis of HEMM using Bayesian Network: A case study on drag system of dragline
    AR Sahu, SK Palei
    Engineering Failure Analysis 118, 104917 , 2020
    2020.0
    Citations: 29
  • A laboratory study on application of synthesised amylopectin-grafted-polyacrylamide (AP-g-PAM) on coal mine haul road dust emission at different atmospheric temperatures
    VK Kashi, NC Karmakar, S Krishnamoorthi, P Adhikary, AR Sahu
    Journal of The Institution of Engineers (India): Series D 105 (1), 255-262 , 2024
    2024.0
    Citations: 5
  • Economical operation & estimation of operating cost of draglines in opencast mines
    AR Sahu, H Naik
    The Indian Mining and Engineering Journal , 2015
    2015.0
    Citations: 4
  • Potential hazard analysis of accidents in Indian underground mines using Bayesian network model
    AR Sahu, VK Kashi
    International Journal of System Assurance Engineering and Management 16 (4 … , 2025
    2025.0
    Citations: 3
  • Dust Suppression of Haul Road in Opencast Coal Mine Using Laboratory Synthesized Polymer
    VK Kashi, AR Sahu, B Suman, R Kumar
    International Conference on Sustainable and Innovative Mining Practices, 35-46 , 2023
    2023.0
    Citations: 3
  • Utilization of Fly-Ash in the Backfilling of Void in Underground Mines
    VK Kashi, AR Sahu, R Kumar
    Asian Mining Congress, 267-275 , 2023
    2023.0
    Citations: 1
  • Failure mode, effects and criticality analysis of dragline components and evaluation of risk priority number for effective maintenance planning
    SKP Atma Ram Sahu
    Journal of Mines, Metals & Fuels 68 (5), 166–172 , 2020
    2020.0
    Citations: 1
  • Reliability analysis of a dragline for productivity improvement: A case study
    Atma Ram Sahu, Sanjay Kumar Palei
    Journal of Materials & Metallurgical Engineering 8 (1), 62-69 , 2018
    2018.0
    Citations: 1
  • Root Cause Analysis of Underground Mines Accident Using Bayesian Network Model
    AR Sahu, S Prakash, VK Kashi
    Asian Mining Congress, 267-276 , 2025
    2025.0
  • Investigational Analysis of Spontaneous Combustion Susceptibility
    VK Kash, AR Sahu
    Asian Mining Congress, 923-936 , 2025
    2025.0
  • A Laboratory Evaluation of Haul Road Dust Suppression Using Water Soluble PAM & PAM-co-PAMPS Polymers
    VK Kashi, AR Sahu, S Krishnamoorthi
    Aerosol Science and Engineering, 1-16 , 2025
    2025.0
  • Utilization of Fly-Ash in the Backfilling of Void
    VK Kashi¹, AR Sahu, R Kumar
    Proceedings of the 10th Asian Mining Congress 2023: Roadmap for Best Mining … , 2023
    2023.0
  • Drive Technology of a Dragline in Open Cast Mines
    A Ram, H Naik
    The Indian Mining & Engineering Journal 54 (2), 10-20 , 2015
    2015.0
  • Performance Study & Evaluation of Electrical Parameter of Dragline in Open Cast Mines
    AR Sahu
    National Institute of Technology, Rourkela, Odisha , 2015
    2015.0
  • Haul Road Dust Reduction Using Hydrolysed-Polyacrylamide: A Laboratory Study
    VK Kashi, NC Karmakar, S Krishnamoorthi, AR Sahu

Publications

1 Atma Ram Sahu and Sanjay Kumar Palei, (2022). Fault analysis of dragline subsystem using Bayesian network model, Reliability Engineering & System Safety, 225(108579),
2 Atma Ram Sahu and Sanjay Kumar Palei, (2020). Fault prediction of drag system using artificial neural network for prevention of dragline failure, Engineering Failure Analysis, 113(104542), pp 1-12. .
3 Atma Ram Sahu and Sanjay Kumar Palei, (2020). Real-time Fault Diagnosis of HEMM using Bayesian Network: A Case Study on Drag System of Dragline. Engineering Failure Analysis, 118(104917), pp 1-14.
4 Atma Ram Sahu and Sanjay Kumar Palei, (2020). Failure mode, effects and criticality analysis of dragline components and evaluation of risk priority number for effective maintenance planning. Journal of Mines, Metals & Fuels. 68(5) pp 166–172.
5 Atma Ram Sahu and Sanjay Kumar Palei, (2018). Reliability analysis of a dragline for productivity improvement: A case study, Journal of Materials & Metallurgical Engineering. 8(1) pp 62-69.