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Advanced Reliability Engineering 7.5 credits

Avancerad tillförlitlighetsteknik
Second cycle, D7012B
Course syllabus valid: Spring 2019 Sp 4 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

Education level
Second cycle
Grade scale
G U 3 4 5
Maintenance Engineering
Subject group (SCB)
Other Subjects within Technology
Main field of study
Maintenance Engineering

Entry requirements

At least 60 ECTS in one of the following areas: Maintenance Engineering, Energy Engineering, Mechanical Engineering, Materials Science, Civil Engineering or equivalent, and a minimum of 15 ECTS in mathematics.

More information about English language requirements


The selection is based on 20-285 credits

Course Aim

 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.

Alireza Ahmadi

Literature. Valid from Autumn 2017 Sp 1 (May change until 10 weeks before course start)
An Introduction to Reliability and Maintainability Engineering, C.E Ebeling, 2nd Edition, 2010
System Reliability Theory: Models, Statistical Methods, and Applications, Marvin Rausand and Arnljot Høyland, 2nd Edition. 2004.
Maintenance, replacement and reliability, Andrew K.S. Jardine, 2006.

Additional reading material:
Reliability: Modeling, Prediction and Optimization, W.R. Blischke and D.N.P. Murthy, 2000.
Practical Reliability Engineering, O’Conner Patrik D T, 3rd Ed, John Wiley & Sons, 2012

Course offered by
Department of Civil, Environmental and Natural Resources Engineering

CodeDescriptionGrade scaleHPStatusFrom periodTitle
0001Compulsory group work and assignmentsU G#3.00MandatoryA17
0002Written examG U 3 4 54.50MandatoryA17

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.

Syllabus established
by Assistant Director of Undergraduate Studies Eva Gunneriusson, Department of Civil, Environmental and Natural Resources Engineering 10 Feb 2017

Last revised
by Assistant Director of Undergraduate Studies Eva Gunneriusson, Department of Civil, Environmental and Natural Resources Engineering 11 Jan 2019