COURSE SYLLABUS Advanced Reliability Engineering 7.5 credits Avancerad tillförlitlighetsteknik Second cycle, D7012B Version Autumn 2017 Sp 1 - Spring 2019 Sp 3Spring 2019 Sp 4 - Present Course syllabus valid: Spring 2019 Sp 4 - PresentThe 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 Subject Maintenance Engineering Subject group (SCB) Other Subjects within Technology Main field of study Maintenance Engineering Entry requirementsAt 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 SelectionThe selection is based on 20-285 creditsCourse 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 Contents 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 RealizationThe course includes lectures and laboratory sessions using software, such as, Weibull ++ Minitab, and MATLAB.ExaminationThe 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.ExaminerAlireza AhmadiLiterature. 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, 2010System 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 Search books in the library » Course offered byDepartment of Civil, Environmental and Natural Resources EngineeringModules CodeDescriptionGrade scaleHPStatusFrom periodTitle 0001Compulsory group work and assignmentsU G#3.00MandatoryA17 0002Written examG U 3 4 54.50MandatoryA17 Study guidanceStudy 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 establishedby Assistant Director of Undergraduate Studies Eva Gunneriusson, Department of Civil, Environmental and Natural Resources Engineering 10 Feb 2017Last revisedby Assistant Director of Undergraduate Studies Eva Gunneriusson, Department of Civil, Environmental and Natural Resources Engineering 11 Jan 2019