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Course12310544266 lectures

Mine Automation and Data Analytics

Prof. Radhakanta Koner · IIT-ISM Dhanbad

Start with lecture 1 At NPTEL

Lectures

week-01

  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

week-02

  1. Lecture 06 : Autonomous Haulage System (Contd.) Video
  2. Lecture 07 : Automated Drilling System Video
  3. Lecture 08 : Automated Drilling System (Contd.) Video
  4. Lecture 09 : Fleet Management System Video
  5. Lecture 10 : Fleet Management System (Contd.) Video

week-03

  1. Lecture 11 : Introduction to CMMS Video
  2. Lecture 12 : Enterprise resource planning (ERP) system Video
  3. Lecture 13 : Remote operation and control center Video
  4. Lecture 14 : Remote operation and control center Video
  5. Lecture 15 : Proximity Sensors Video

week-04

  1. Lecture 16: Proximity Sensors and Control System Video
  2. Lecture 17: Sensing System: Radar Technology Video
  3. Lecture 18: RFID in Mining Engineering Video
  4. Lecture 19: Introduction to Geo-fencing Video
  5. Lecture 20: CCD camera in Mine safety and management Video

week-05

  1. Lecture 21: GNSS in Mining Video
  2. Lecture 22: GNSS Case Studies Video
  3. Lecture 23: GNSS Case Studies – Part II Video
  4. Lecture 24: Image Processing and Analysis in Remote Sensing Video
  5. Lecture 25: Basics of Digital Image Processing Video

week-06

  1. Lecture 26: Automated communication andtracking technologies: Image processing Video
  2. Lecture 27: Automated Communication and Tracking Technologies: SCADA Video
  3. Lecture 28: SCADA and its Application in Mining Video
  4. Lecture 29: Introduction to VR Systems Video
  5. Lecture 30: Virtual Reality Application in Mining Video

week-07

  1. Lecture 31: Introduction to Augmented Reality (AR) Video
  2. Lecture 32: Augmented Reality Application in Mining Video
  3. Lecture 33: Introduction - I Video
  4. Lecture 34: Introduction - II Video
  5. Lecture 35 : Introduction to Probability and its associated terms Video

week-08

  1. Lecture 36: Introduction to Probability and its associated terms Video
  2. Lecture 37: Discrete Random Variable Part I Video
  3. Lecture 38: Discrete Random Variable Part II Video
  4. Lecture 39: Continuous Random Variable Part I Video
  5. Lecture 40: Continuous Random Variable Part II Video

week-09

  1. Lecture 41: Hypothesis Testing - I Video
  2. Lecture 42: Hypothesis Testing - II Video
  3. Lecture 43: t - test Video
  4. Lecture 44: Chi-Squared Test Video
  5. Lecture 45: Introduction to Machine Learning Video

week-10

  1. Lecture 46 : Regression Video
  2. Lecture 47 : Logistic Regression Video
  3. Lecture 48 : K Nearest Neighbor Video
  4. Lecture 49 : Support Vector Machine Video
  5. Lecture 50 : Naïve Bayes Classifier Video

week-11

  1. Lecture 51: Artificial Neural Networks Video
  2. Lecture 52: K Means Clustering Video
  3. Lecture 53: DBSCAN Video
  4. Lecture 54: Principal Component Analysis (PCA) Video
  5. Lecture 55: Application of Big Data Analytics in Mining Video

week-12

  1. Lecture 56: Big Data and AI Used Cases Video
  2. Lecture 57: Cognitive Maintenance in Mining Video
  3. Lecture 58: Cognitive Maintenance Case Studies Video
  4. Lecture 59: Introduction to Orebody Modelling and Mine Design Video
  5. Lecture 60: Case studies on Orebody Modeling and Mine Design Video

Live Session

  1. Live Session 15-02-2024 Video
  2. Live Session 15-03-2024 Video
  3. Live Session 12-04-2024 Video
  4. Live Session 19-02-2025 Video
  5. Live Session 07-04-2025 Video
  6. Live Session 21-04-2025 Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT-ISM Dhanbad
Department
Mining Engineering
Teacher
Prof. Radhakanta Koner
Level
Undergraduate
Language
English
Subjects
Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
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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