This coursework is about understanding how to use Reliability, Availability techniques to support decisions on maintenance

Failure of complex systems depends on the physical processes, component characteristics, inspection and maintenance policies. In this coursework you are expected to collect failure and repair/ maintenance data of a real system (the systems could be a repairable or non-repairable system). The data should be from a real project (do not use data from textbooks). Give a full description of the data information (such as the number of failures, inspections, faults, fault description, dates, when each fault was detected and the types of maintenance carried out). Discuss the data/information gathering process, and framework used (illustrate using diagrams).
Tabulate the data and carry out exploratory analysis for the data (such as event frequencies, histogram, or bar charts) and discuss it. Use suitable statistical techniques in reliability analysis from your lecture notes. You may need to do some additional reading to understand the reliability metrics. Determine whether the redundancy systems are in series or parallel, general series and parallel. Make estimates of (vital) component reliability and calculate the overall system reliability.
Identify the candidate distribution that is adequate for the failure/repair process (data sets). Determine the best reliability models, discuss the characteristics and the appropriateness of the reliability models chosen and give the mathematical expression of the; MTTF, standard deviation, types of failure rate, and show the expression of the reliability function and the hazard function. Explain the economic benefits of the model.
Assessment Criteria are:
1- Discuss the preliminaries of lifetime distributions used in reliability analysis. Clearly define the reliability terms and discuss the terminology used for the system under investigation. Your report should show the reader your understanding of the reliability techniques used.
2- Carry out an exploratory analysis of the failure data sets (show the trends on a histogram or a line graph). Show the functional forms of the candidate distributions, estimate the mean, variance and standard deviation of the fitted candidate distribution. Also show the expression for the hazard and reliability function.
3- Show whether the times between failures follow a non-homogenous Poisson process, homogeneous Poisson or renewal process (determine the reliability models used and explain why you think it is adequate).
4- Conclusions and recommendations (discuss the economic benefits of using the proposed model)
5- Attach a copy of the sources of data information used. Include all relevant references (at least five) in your reference Section (use Harvard referencing style).
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