Condition Monitoring and Fault Diagnostics detailed syllabus for Robotics & Automation Engineering (Robotics) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Robotics 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 Robotics & Automation Engineering 5th Sem scheme and its subjects, do visit Robotics 5th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Robotics Professional Elective-IV syllabus scheme. The detailed syllabus of condition monitoring and fault diagnostics is as follows.
Course Objectives:
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Unit I
CONDITION MONITORING TECHNIQUES AND MACHINE CONDITION 9
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 9
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
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Unit IV
FAILURE ANALYSIS, MAINTENANCE AND MACHINE LEARNING 9
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 9
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
Course Outcomes:
Upon successful completion of the course, students should be able to:
- Understand the basics of various condition monitoring methods.
- Select suitable condition monitoring sensors for various applications.
- Recall various signals processing for condition monitoring applications.
- Know about various failure analysis, maintenance and machine learning.
- Apply different fault diagnosis method for various applications.
Text Books:
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Reference Books:
- “Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence”, W.H. Tang, Q.H. Wu, Springer-Verlag London
For detailed syllabus of all the other subjects of Robotics & Automation Engineering 5th Sem, visit Robotics 5th Sem subject syllabuses for 2021 regulation.
For all Robotics & Automation Engineering results, visit Anna University Robotics all semester results direct link.