Courses » Machinery Fault Diagnosis and Signal Processing

Machinery Fault Diagnosis and Signal Processing

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.

  • Students

  • Faculty Members

  • Industry Professionals

  • BE/B. Tech in Mechanical Engineering

UG/PG : 

  • Government PSUs 

  • Private industries in the Oil 

  • Steel

  • Construction

  • Mining

  • Fertilizer

  • Transportation Sector


A. R. Mohanty is a professor and also the Shyamal Ghosh and Sunanda Ghosh Chair Professor at the Mechanical Engineering Department of the Indian Institute of Technology Kharagpur. Professor Mohanty obtained his B.Sc Engg (Hons) degree in Mechanical Engineering from NIT Rourkela, M.Tech degree from IIT Kharagpur and PhD from the University of Kentucky, USA.  He was also a Post Doctoral Fellow at the Purdue University at its West Lafayette Campus in the USA.  Prior to joining IIT Kharagpur he worked in the R&D department of Ford Motor Company in Dearborn, USA.  Prof. Mohanty has also worked in the R&D of Larsen and Toubro Limited, Mumbai, India. Professor Mohanty has done pioneering work in the areas of motor current signature analysis for fault detection in rotating machines and has a patent on the same.  Another major research contribution of Professor Mohanty has been in the use of natural materials for noise control.  Professor Mohanty has been a consultant to more than 100 industries in India and abroad. He has also conducted many sponsored research projects in these areas from different agencies.  Professor Mohanty has more than 150 journal and conference publications, three book chapters and one book on “Machinery Condition Monitoring: Principles and Practices”, CRC Press, (2014), to his credit.  His NPTEL and GIAN lectures on Machinery Condition Monitoring and Industrial Noise Control are available on YouTube.  Professor Mohanty has had many visiting professor positions at universities in Singapore, France and the United States of America.  He has received several awards like the Chancellor’s Award for Outstanding Teaching at the University of Kentucky (1993), Rais Ahmed (2009) and M. S. Narayanan Memorial (2015) Award of the Acoustical Society of India, Star Alumnus Award of NIT Rourkela (2015).  He is fellow of the Acoustical Society of India (ASI), Condition Monitoring Society of India (CMSI), the International Society for Engineering Asset Management (ISEAM) and the Indian National Academy of Engineering (INAE). 


Week 1:Basics of Maintenance

Week 2: Basics of Machinery Vibration
Week 3: Signal Analysis

Week 4:Data Acquisition and Signal Recording

Week 5: Examples on Signal Processing MATLAB

Week 6: Basics of Instrumentation and Transducers

Week 7: Vibration and Noise Measurements

Week 8: Faults in Rotating Machines

Week 9: Bearings and Gears, Diagnostic Chart

Week 10: Motor Current Signature Analysis, Wear and Debris Analysis

Week 11: Non-Destructive Test Techniques

Week 12: Case Studies and Failure Analysis


1. Machinery Condition Monitoring: Principles and Practices, A. R. Mohanty, CRC Press, 2014

  • The exam is optional for a fee. · 
  • Date and Time of Exams: April 28 (Saturday) and April 29 (Sunday) :
    Morning session 9am to 12noon. 
    Afternoon session: 2pm to 5pm.
  • Exam for this course will be available in one session on both 28 and 29 April. The exact session it will be available in (FN/AN) - we shall inform by first week of January 2018. · 
  • Registration url: Announcements will be made when the registration form is open for registrations.  
  • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. 

  • Final score will be calculated as : 25% assignment score + 75% final exam score  
  • 25% assignment score is calculated as 25% of average of 12 weeks course: Best 8 out of 12 assignments  
  • E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of NPTEL and IIT Kharagpur. It will be e-verifiable at nptel.ac.in/noc.