Risks and Reliability
| Code | School | Level | Credits | Semesters |
| EEEE3048 | Electrical & Electronic Engineering | 3 | 10 | Autumn Malaysia |
- Code
- EEEE3048
- School
- Electrical & Electronic Engineering
- Level
- 3
- Credits
- 10
- Semesters
- Autumn Malaysia
Summary
This module covers topics relevant to risks and reliability analysis techniques and considerations involved in the design specification, inspection, construction, operation and maintenance of mechanical and electrical equipment.
Topics in Risks and Reliability engineering includes :
Basic concepts in risks assessment
Systems Reliability
Maintenance and Replacement
Testing for Reliability
Alternatives to Reliability Prediction using Historic Data
Other Methods of System Reliability Evaluation
Failure Modes and Effects
Target Students
Years 3 & 4 M.Eng Mechatronics Students[Optional], Years 3 & 4 M.Eng Electrical and Electronics Students[Optional], Years 3 & 4 M.Eng Mechanical Engineering Students and M.Sc. Electrical & Electronic[Optional]
Classes
- One 1-hour tutorial each week for 10 weeks
- One 2-hour lecture each week for 12 weeks
Assessment
- 40% Coursework
- 60% Exam 1 (2-hour)
Educational Aims
The main aims of this module are to develop students ability in recognizing, formulating and solving risk and reliability problems.Learning Outcomes
•Knowledge and understanding of basic concepts in reliability engineering: Reliability and failure; Mean time between failures; Hazard functions; Failure probability density functions; Exponential, Normal and Weibull distributions.
•Knowledge and understanding of systems reliability: Active and standby redundancy; A reliability engineering approach to design and factors of safety.
•Ability to analyze the reliability issues in maintenance and replacement: Mean time to repair; Availability; Maintenance action rate; the log-normal distribution; the maintainability equation; optimal replacement policy.
•Ability to choose and understand techniques of testing for reliability: Sampling techniques; the use of chi squared; distributions for the determination of confidence limits.
•Ability to analyze and use alternatives to reliability prediction using historic data: The Design Review process; Failure modes and effects Analysis and Fault Free Analysis.
Conveners
- Dr S. Anandan Shanmugam