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Courses » Machinery Fault Diagnosis And Signal Processing

Machinery Fault Diagnosis And Signal Processing

ABOUT THE COURSE 

The subject of machinery condition monitoring has been recently receiving considerable attention in India owing to concerns related to equipment reliability and safety. This increasing interest is primarily due to the significant impact of economic changes and strong competition in the global market. This course will provide students/engineers/managers with the state of the art techniques in machinery condition monitoring along with the recent developments in the field of signal processing, thermography, ultrasonics apart from the traditional noise and vibration monitoring.  There will be demonstration of realtime machinery health monitoring by various condition monitoring aspects.

INTENDED AUDIENCE:
  • Students

  • Faculty Members

  • Industry Professionals

PRE- REQUISITES:
  • BE/B. Tech in Mechanical Engineering
CORE/ELECTIVE:   
Elective

UG/PG : 
PG

INDUSTRY SUPPORT : 
PSUs like SAIL, ONGC, BHEL, NALCO, EIL, RINL, BARC, Indian Railways, HAL, DRDO Organizations Private Industries like TATA Group, Jindals, Reliance, Birla Group

734 students have enrolled already!!

COURSE INSTRUCTOR


Professor A. R. Mohanty is a Professor and the Shyamal Ghosh and Sunanda Ghosh Chair Professor at the Mechanical Engineering Department of the Indian Institute of Technology Kharagpur with 30 years of experience in areas of noise control and machinery condition monitoring. He holds a PhD degree from the University of Kentucky, USA.   He is a recipient of several awards, Fellow of the Indian National Academy of Engineering, Fellow of the Acoustical Society of India, Fellow of the Condition Monitoring Society of India  and the International Society of Engineering Asset Management. He has conducted around 100 sponsored research and industrial consultancy projects.

COURSE LAYOUT :

Week 1: Maintenance Principles, FMECA, Fault Prognosis

Week 2: Vibration Analysis, Experimental Modal Analysis, Rotor Dynamics

Week 3: Time domain Signal analysis, Data Acquisition, Filtering

Week 4: Fourier Series, FFT, Modulation and Sidebands

Week 5: Order Analysis, Orbits

Week 6: Instrumentation, Data Recording

Week 7: Vibration and Noise Monitoring

Week 8: Rotating Machines, Bearings and Gears

Week 9: Fans, Blowers, Pumps, IC Engines

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

Week 11: NDT, Ultrasonics, EddyCurrent

Week 12: Case Studies, Failure Analysis


REFERENCES:

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

CERTIFICATION EXAM :
  • The exam is optional for a fee.
  • Date of Exam: April 28th 2019 (Sunday).
  • Time of Exam: Morning session 9am to 2 noon; Afternoon session: 2pm to 5pm
  • 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.
CERTIFICATION:

  • Final score will be calculated as : 25% assignment score + 75% final exam score
  • 25% assignment score is calculated as 25% of average of  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.
APPRECIATIONS AND COMMENTS BY THE PREVIOUS BATCH STUDENTS:

Dear Sir & His team!!! Greetings of the Day!! We are very much grateful to you and your team, for taking pains to make us better understanding the subject "MACHINERY FAULT DIAGNOSIS & SIGNAL PROCESSING". with sincere regards - V.MURALI MOHAN Associate Professor Finolex Academy of Management & Technology, RATNAGIRI