CMR340 Condition Monitoring and Fault Diagnostics Syllabus:

CMR340 Condition Monitoring and Fault Diagnostics Syllabus – Anna University Regulation 2021

COURSE OBJECTIVES:

1. To Understand the basics of various condition monitoring methods.
2. To Identify the selection of condition monitoring sensors for various applications.
3. To study various signal processing for condition monitoring applications.
4. To Know about various failure analysis, maintenance and machine learning.
5. To provide a basic understanding with case studies on different fault diagnosis method.

UNIT – I CONDITION MONITORING TECHNIQUES AND MACHINE CONDITION MONITORING

Condition Monitoring in manufacturing industries; Noise monitoring, Wear and debris Analysis, Thermography, Cracks monitoring, Ultrasonic techniques – Case studies. Vibration, Acoustic emission and vibro-acoustics signal analysis; intelligent fault detection system, Case studies.

UNIT – II SENSORS FOR FAULT DIAGNOSTICS

Introduction – Contaminant monitoring sensors- Corrosion monitoring sensors – Force monitoring sensors – Gas leakage monitoring – sensors Air pollution monitoring sensors – Liquid contamination monitoring sensors – Non-destructive testing techniques – Optical examination -Temperature sensing

UNIT – III SIGNAL PROCESSING AND ANALYSIS

Study of periodic and random signals, probability distribution, statistical properties, auto and cross correlation and power spectral density functions. Time domain and Frequency domain and Time frequency domain analysis.

UNIT – IV FAILURE ANALYSIS, MAINTENANCE AND MACHINE LEARNING

Maintenance Principles, Failure mode analysis – Equipment down time analysis – Breakdown analysis – condition based maintenance, Vibration, Acoustic emission and vibrio-acoustics signal analysis; intelligent fault detection system, Case studies.

UNIT – V MONITORING SYSTEMS CASE STUDEIS

Introduction – Marine monitoring systems – Marine turbine monitoring systems – Shipboard vibration monitoring – Monitoring integrity verification – Aircraft condition monitoring – Condition monitoring – generating plant – Automotive diagnostic equipment – Systematic fault monitor selection

TOTAL: 45 PERIODS

COURSE OUTCOMES

Upon successful completion of the course, students should be able to:
1. Understand the basics of various condition monitoring methods.
2. Select suitable condition monitoring sensors for various applications.
3. Recall various signals processing for condition monitoring applications.
4. Know about various failure analysis, maintenance and machine learning.
5. Apply different fault diagnosis method for various applications.

TEXT BOOK

1. “Mechanical Fault Diagnosis and condition monitoring” by R. A. Collacott, Chapman and Hall London A Halstead Press Book John Wiley & Sons, New York

REFERENCE

1. “Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence”, W.H. Tang, Q.H. Wu, Springer-Verlag London