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Last updated:

September 25, 2023

Duration:

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FREE

This course includes:

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Description

Machinery Fault Diagnosis and Signal Processing (2018). Instructor: Prof. A. R. Mohanty, Department of Mechanical Engineering, IIT Kharagpur.

Machinery Condition Monitoring is gaining importance worldwide due to its cost benefit to the industries in large in the long run. This course will introduce students/faculty/industry professionals to the basics of machinery condition monitoring, including an introduction to signal processing and fault diagnostics techniques. The techniques of vibration monitoring, wear and debris analysis, motor current signature analysis, thermography and few non-destructive test techniques as used in condition based monitoring will be discussed. Few case studies will also be discussed. (from nptel.ac.in)

Course Curriculum

  • Lecture 01 – Introduction Unlimited
  • Lecture 02 – Maintenance Principles Unlimited
  • Lecture 03 – FMECA Unlimited
  • Lecture 04 – Fault Diagnostics and Prognostics Unlimited
  • Lecture 05 – Machine Learning in CBM Unlimited
  • Lecture 06 – Basics of Vibration Unlimited
  • Lecture 07 – Free and Forced Response Unlimited
  • Lecture 08 – Vibration and Shock Isolation Unlimited
  • Lecture 09 – Rotordynamics Unlimited
  • Lecture 10 – Practical Examples of Vibration Unlimited
  • Lecture 11 – Time Domain Analysis Unlimited
  • Lecture 12 – Frequency Domain Analysis Unlimited
  • Lecture 13 – Non Stationary Signal Analysis Unlimited
  • Lecture 14 – Modulation and Beats Unlimited
  • Lecture 15 – Orbit and Order Analysis Unlimited
  • Lecture 16 – Computer Aided Data Acquisition Unlimited
  • Lecture 17 – Wireless Data Acquisition Unlimited
  • Lecture 18 – Data Recording Unlimited
  • Lecture 19 – Cepstrum Analysis Unlimited
  • Lecture 20 – Hilbert Transform in Condition Monitoring Unlimited
  • Lecture 21 – Introduction to MATLAB Unlimited
  • Lecture 22 – Signal Processing using MATLAB Unlimited
  • Lecture 23 – Numericals in Signal Processing and Data Acquisition Unlimited
  • Lecture 24 – Signal Heterodyning Unlimited
  • Lecture 25 – Practical Signals Unlimited
  • Lecture 26 – Basics of Instrumentation Unlimited
  • Lecture 27 – Signal Conditioning and Filtering Unlimited
  • Lecture 28 – Errors in Measurements Unlimited
  • Lecture 29 – Dynamic Range and Frequency Response Unlimited
  • Lecture 30 – Overview of Transducers for CBM Unlimited
  • Lecture 31 – Accelerometers Unlimited
  • Lecture 32 – Vibration Monitoring Unlimited
  • Lecture 33 – Rotational Speed Measurements Unlimited
  • Lecture 34 – Basics of Noise Unlimited
  • Lecture 35 – Noise Monitoring: Noise Standards, Human Hearing Unlimited
  • Lecture 36 – Introduction to Faults in Rotating Machines Unlimited
  • Lecture 37 – Unbalance Detection Unlimited
  • Lecture 38 – Field Balancing Unlimited
  • Lecture 39 – Misalignment Unlimited
  • Lecture 40 – Crack and Looseness Unlimited
  • Lecture 41 – Journal and Antifriction Bearings Unlimited
  • Lecture 42 – Gears Unlimited
  • Lecture 43 – Pumps and Cavitation Unlimited
  • Lecture 44 – IC Engines Unlimited
  • Lecture 45 – Machinery Diagnostic Chart Unlimited
  • Lecture 46 – Principles of Motor Current Signature Analysis Unlimited
  • Lecture 47 – Faults in Electrical Machines Unlimited
  • Lecture 48 – Thermography Unlimited
  • Lecture 49 – Wear Debris Analysis Unlimited
  • Lecture 50 – Oil Analysis Unlimited
  • Lecture 51 – Ultrasonics Unlimited
  • Lecture 52 – Eddy Current and Acoustic Emission Unlimited
  • Lecture 53 – Radiography, Dye Penetrant Tests Unlimited
  • Lecture 54 – Tool Condition Monitoring Unlimited
  • Lecture 55 – Experimental Modal Analysis Unlimited
  • Lecture 56 – Introduction to Failure Analysis Unlimited
  • Lecture 57 – Railway Locomotive Noise and Vibration Monitoring Unlimited
  • Lecture 58 – Paper Mill Vibration Monitoring Unlimited
  • Lecture 59 – Overview of CBM Facilities Unlimited
  • Lecture 60 – Future of Condition based Monitoring Unlimited

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