Learn · Mine Automation and Data Analytics

Lecture 2 of 66week-01

Lecture 02 : Principle of Automation and Strategies

Prof. Radhakanta Koner · IIT-ISM Dhanbad

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Mine Automation and Data Analytics, IIT-ISM Dhanbad (at NPTEL)
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CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Kharagpur.
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All the lectures

  1. Lecture 01 : Introduction to Automation Video
  2. Lecture 02 : Principle of Automation and Strategies Video
  3. Lecture 03 : Elements of Automated System Video
  4. Lecture 04 : Elements of Automated System (Contd.) Video
  5. Lecture 05 : Autonomous Haulage System Video
  6. Lecture 06 : Autonomous Haulage System (Contd.) Video
  7. Lecture 07 : Automated Drilling System Video
  8. Lecture 08 : Automated Drilling System (Contd.) Video
  9. Lecture 09 : Fleet Management System Video
  10. Lecture 10 : Fleet Management System (Contd.) Video
  11. Lecture 11 : Introduction to CMMS Video
  12. Lecture 12 : Enterprise resource planning (ERP) system Video
  13. Lecture 13 : Remote operation and control center Video
  14. Lecture 14 : Remote operation and control center Video
  15. Lecture 15 : Proximity Sensors Video
  16. Lecture 16: Proximity Sensors and Control System Video
  17. Lecture 17: Sensing System: Radar Technology Video
  18. Lecture 18: RFID in Mining Engineering Video
  19. Lecture 19: Introduction to Geo-fencing Video
  20. Lecture 20: CCD camera in Mine safety and management Video
  21. Lecture 21: GNSS in Mining Video
  22. Lecture 22: GNSS Case Studies Video
  23. Lecture 23: GNSS Case Studies – Part II Video
  24. Lecture 24: Image Processing and Analysis in Remote Sensing Video
  25. Lecture 25: Basics of Digital Image Processing Video
  26. Lecture 26: Automated communication andtracking technologies: Image processing Video
  27. Lecture 27: Automated Communication and Tracking Technologies: SCADA Video
  28. Lecture 28: SCADA and its Application in Mining Video
  29. Lecture 29: Introduction to VR Systems Video
  30. Lecture 30: Virtual Reality Application in Mining Video
  31. Lecture 31: Introduction to Augmented Reality (AR) Video
  32. Lecture 32: Augmented Reality Application in Mining Video
  33. Lecture 33: Introduction - I Video
  34. Lecture 34: Introduction - II Video
  35. Lecture 35 : Introduction to Probability and its associated terms Video
  36. Lecture 36: Introduction to Probability and its associated terms Video
  37. Lecture 37: Discrete Random Variable Part I Video
  38. Lecture 38: Discrete Random Variable Part II Video
  39. Lecture 39: Continuous Random Variable Part I Video
  40. Lecture 40: Continuous Random Variable Part II Video
  41. Lecture 41: Hypothesis Testing - I Video
  42. Lecture 42: Hypothesis Testing - II Video
  43. Lecture 43: t - test Video
  44. Lecture 44: Chi-Squared Test Video
  45. Lecture 45: Introduction to Machine Learning Video
  46. Lecture 46 : Regression Video
  47. Lecture 47 : Logistic Regression Video
  48. Lecture 48 : K Nearest Neighbor Video
  49. Lecture 49 : Support Vector Machine Video
  50. Lecture 50 : Naïve Bayes Classifier Video
  51. Lecture 51: Artificial Neural Networks Video
  52. Lecture 52: K Means Clustering Video
  53. Lecture 53: DBSCAN Video
  54. Lecture 54: Principal Component Analysis (PCA) Video
  55. Lecture 55: Application of Big Data Analytics in Mining Video
  56. Lecture 56: Big Data and AI Used Cases Video
  57. Lecture 57: Cognitive Maintenance in Mining Video
  58. Lecture 58: Cognitive Maintenance Case Studies Video
  59. Lecture 59: Introduction to Orebody Modelling and Mine Design Video
  60. Lecture 60: Case studies on Orebody Modeling and Mine Design Video
  61. Live Session 15-02-2024 Video
  62. Live Session 15-03-2024 Video
  63. Live Session 12-04-2024 Video
  64. Live Session 19-02-2025 Video
  65. Live Session 07-04-2025 Video
  66. Live Session 21-04-2025 Video