Reliability analysis

MFGS 540

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INSTRUCTOR:       Dr. Tomas Velasco, C.Q.E.
                                    112C Engineering Building D
                                     Carbondale, IL 62901-6603
         ( (618) 453-7842
         - VELASCO@engr.siu.edu
         : Http://www.siu.edu/~VELASCO

TEXTS:                      Textbook
                                      Introduction to Reliability Engineering, E.E. Lewis, John Wiley & Sons
                                    Reference Material
                                     - Reliability in Engineering Design by K. C. Kapur and L. R. Lamberson.
                                     - Statistical Models and Methods for Lifetime Data by J. F. Lawless
                                     - The Statistical Analysis of Failure Time Data by Kalbfleisch and Prentice
                                    Audiovisual
                                     Against all Odds, Inside Statistics Series, 1988

CLASS:                    Spring Semester 1999
                                    Thursday,  6:00 PM. - 8:50 PM.
                                    EGR D 131

Reliability considerations occupy an increasingly important place in engineering practice
The reliability of the elements in a complex system is one of the most important issues to be addressed by engineers. With costly unexpected failures of piece(s) in a system, the need to insure reliability of the hardware and software components is a must. Although the details of application differ depending on whether mechanical, electrical, or chemical systems are under analysis, the reliability concepts cut across the specific fields of engineering.

OBJECTIVE:
The purpose of this course is to provide the student with an overview of the basic techniques applied in the field of reliability and failure data analysis emphasizing on quantifying reliability in product design and testing in an industrial environment. In this course, an integrated introduction to the theory and practice of reliability engineering is provided from an interdisciplinary point of view with applications to manufacturing systems.

REQUIREMENTS:
Major emphasis will be placed on reading and understanding the material from the class, suggested books and reference material prior to class, and in homework assigned. Although I do not require class attendance, I will give occasional quizzes, the frequency of which will be inversely proportional to class attendance. Excused absences require prior approval of the instructor.

GRADING:

·3 Examinations, each of which counts 20% of your grade.
·Homework and Quizzes which counts 20% of your grade.
·Project which counts 20% of your grade.
STANDARDS:
Letter grades are assigned based on the total number of points accumulated. ·A : 90% and higher
·B : 80% - 89.99%
·C : 70% - 79.99%
·D : 60% - 69.99%
·F : Less than 60%
GRADING POLICY:
Assignments are due at class time. Missed examinations and assignments have a 10% penalty per day, imposed when turned in, unless an appropriate, prior excuse is provided to the instructor. The missed examination must be completed on the make-up date set by the instructor.

ACADEMIC CONDUCT:
Cheating on examinations, submitting work of other students as your own, or plagiarism in any form will result in penalties ranging from an F on the assignment to expulsion from the university, depending on the seriousness of the offense.

OFFICE HOURS:
10:00 a.m. to 12:00 p.m. on Monday, Wednesday & Friday; other hours by appointment.

EQUIPMENT AND SOFTWARE:
Hand-held calculator and any computer-based spreadsheet. Excel is available in all the P.C. laboratories in Engineering including Industrial Technology labs. and College of Engineering labs.

SCHEDULE:

WEEK             TOPIC
1                       Introduction
1,2                    reliability measures and concepts (reliability function, hazard function)
3,4                    static reliability models (series & parallel models)
5,6                    probabilistic engineering design
7,8,9                 combination of random variables in design
10,11,12,13       reliability estimation (parametric approach)
14,15                sequential life testing
16                     Artificial Intelligence, Other Topics
RESEARCH PROJECTS: