CIC338: Machine Monitoring System syllabus for EIE 2021 regulation (Professional Elective-III)

Machine Monitoring System detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the EIE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Electronics & Instrumentation Engineering 5th Sem scheme and its subjects, do visit EIE 5th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to EIE Professional Elective-III syllabus scheme. The detailed syllabus of machine monitoring system is as follows.

Course Objectives:

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Unit I

INTRODUCTION TO MACHINE CONDITION MONITORING
Machinery condition monitoring – Present status – Fault prognosis – Future needs.

Unit II

MACHINERY MAINTENANCE
Maintenance strategies – Reactive, Preventive, and Predictive – Benefits of planned maintenance – Bath tub curve – Failure Modes Effects and Criticality Analysis (FMECA).

Unit III

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Unit IV

SIGNAL PROCESSING IN MACHINERY MONITORING
FFT analysis – Time domain analysis – Time-frequency analysis – Signal filtering – Cepstrum analysis – Health condition of compressor & engine.

Unit V

MACHINE LEARNING FOR CONDITION MONITORING Machine Learning: Feature extraction and feature selection methods – Feature reduction -Classification techniques – Case studies of condition monitoring in Nuclear plant components, Distillation column.

Skill Development Activities

(Group Seminar/Mini Project/Assignment/Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)

1. Survey of critical machinery that requires monitoring system.
2. Exposure to practical machinery vibration & monitoring system presently in use.
3. Carryout FMECA using software.
4. Analyze the health condition of any machinery.

Course Outcomes:

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Text Books:

1. Cornelius SchefferandPareshGirdhar, �Practical Machinery Vibration Analysis and Predictive Maintenance�, Elsevier, 2004, 1st Edition.
2. A. R. Mohanty, �Machinery Condition Monitoring: Principles and Practices� , CRC Press, Taylor & Francis, 1st Edition, 2017.

Reference Books:

1. Stephen Marsland, Machine Learning: An Algorithmic Perspective, 2nd Edition, 2014, CRC, Press.
2. Collacot, �Mechanical Fault Diagnosis and Condition Monitoring�, Chapman- Hall, 1st Edition, 2011.
3. Davies, �Handbook of Condition Monitoring – Techniques and Methodology�, Springer, 1st Edition, 2011.
4. Ian H. Witten, Eibe Frank, Mark A. Hall, Data Mining: Practical Machine Learning Tools and Techniques, Elsevier, 3rd Edition 2011.
5. Ferdinand van der Heijden, Robert Duin, Dick de Ridder, David M. J. Tax, Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB, John Wiley & Sons, 2nd Edition, 2017.

List of Open Source Software/ Learning Website:

1. https://onlinecourses.nptel.ac.in/noc22_cs29/preview
2. https://www.udemy.com/topic/maintenance-management/
3. https://www.vi-institute.org/analyst-categories/
4. https://in.mathworks.com/help/predmaint/ug/condition-monitoring-and-prognostics-using-vibration-signals.html

For detailed syllabus of all the other subjects of Electronics & Instrumentation Engineering 5th Sem, visit EIE 5th Sem subject syllabuses for 2021 regulation.

For all Electronics & Instrumentation Engineering results, visit Anna University EIE all semester results direct link.