This course is designed to provide the participants, an in-depth understanding and ability to perform reliability modeling for both repairable and non-
  repairable units; and to optimize the maintenance requirements. On successful completion of the course the student will be able to:
• demonstrate understanding of product reliability, types of reliability data sources and problems with reliability data
• apply both parametric and non-parametric techniques to analyze failure data and estimate relevant model parameters
• perform probabilistic failure modeling of repairable units using e.g. renewal processes, Poisson processes, non-homogenous Poisson process
• model the failure behavior of a multi-unit system
• determine optimal reliability-based maintenance strategies to fulfill system functions

   The course contains the following:
1. Introduction to RAMS and Fundamental concepts
2. Product reliability, reliability data, and data sources
3. Reliability data collection and problems with data
4. Preliminary data analysis
5. Non-parametric and parametric approaches for analyzing reliability data
6. Model selection, parameter estimation and hypothesis testing
7. Modeling first failure – standard distributions
8. Reliability Analysis of Repairable Units
9. The Mean Cumulative Function (MCF) for Recurrent Event Data
10.Reliability analysis of maintained systems
11.Maintenance modeling and optimization

The course includes lectures and laboratory sessions using software, such as, Weibull ++ Minitab, and MATLAB.

The course will be evaluated through: (1) Written exam 3.5 hp, (2) Assignments 2.0 hp and (3) Case Study 2.0 hp. To obtain a passing grade all assignments must be completed and to pass the final exam.