Course Details

Course Code: EN9103
Course Title: Predictive Maintenance and Condition Based Monitoring
Short Title: PMCBM
Course Level:: Level 9
Valid From:: 2024/2025 Sem 1
Credits:: 15
Owner: Faculty of EDICT (Engineering,Design and ICT)
Assessment Method: Achievement
Course Aim

This course will provide students with the necessary knowledge and skills to make informed decisions regarding equipment maintenance needs based on condition monitoring data. This course covers a range of topics, including the theory and application of various predictive maintenance (PM) technologies, data analytics, signal processing, machine learning techniques, and vibration analysis. Additionally, the course focuses on improving skills in areas like vibration analysis, alignment, and balancing through computer-based training programs. The ultimate goal is to enable students to develop and apply machine learning algorithms effectively for fault detection in complex systems based on condition monitoring data.
 
CILO
On Completion of this course, the learner will be able to
# Learning Outcome Description
1 Use professional level skills to apply advanced techniques of predictive maintenance and condition monitoring on mechanical dynamic machines.
2 Use a combination of approaches to analyze data on machinery condition assessment for enhanced performance and longevity.
3 Use professional level skills to apply predictive maintenance strategies for analysis of equipment conditions, and the development of monitoring algorithms.
Requisites
No requisites
 
Examinations
Assessment Type
Examination (Unseen)
No Other Controlled Assessments
Uncontrolled Assessments
Assessment Type
Assignment
Assessment Type
Case Study

The institute reserves the right to alter the nature and timings of assessment

Affiliated Entities
Entity Code Entity Title Entity Version Entity Type
EN1098 Doctorate of Philosophy in Electronics Engineering 1 Programme
ENT1099 Doctor of Philosophy in Engineering 1 Programme
ENT9020 Master of Science in Reliability & Maintenance Management 1 Programme
ENT9098 Master of Science by Research in Electronics Engineering 1 Programme
ENT9099 Master of Science by Research in Mechanical Engineering 1 Programme