Condition Monitoring and Predictive Maintenance

Course Name: 

ME344 CONDITION MONITORING AND PREDICTIVE MAINTENANCE

Programme: 

B.Tech (Mechanical)

Semester: 

Fifth

Category: 

Open Electives (OE)

Credits (L-T-P): 

(3-0-0) 3

Content: 

Mechanical vibration theory, A review, Theory of vibration measuring instruments, Maintenance methods, machinery diagnostics and predictive maintenance, condition monitoring parameters, methods, Machine health prediction using vibration monitoring, machine signature, vibration standards, vibration analysis, Case studies, Predictive maintenance using wear debris analysis, Case studies.

References: 

R. A. Collacott, Vibration monitoring and diagnosis, George Godwin Ltd London, 1979 W. T. Thomson, Theory of Vibration with application, Prentice Hall, Eaglewood cliffs, 4th edition, 1993 B. S. Prabhu, Condition monitoring and condition based maintenance ISTE New Delhi, 1997. H. P. Garg, Industrial Maintenance, 3rd Edition, S Chand & Company ltd, 1987

Department: 

Mechanical Engineering
 

Contact us

Dr. Ravikiran Kadoli, Professor and Head
Department of Mechanical Engineering, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.

  • Hot line: +91-0824-2473049

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