GEG7114

Basic quantitative skills for reliability engineering

This subject is divided into three different-interactive sections as follows: (a) Introduction to reliability mathematics. The aim of this section is not to make a candidate an expert in the statistics and probability theories, but rather to let them enjoy a conceptual understanding of the foundation theories on which reliability sciences are based. This section will be offered to ensure an easy and firm grasp of the subsequent reliability topics. The topics covered in this section include probability concepts; probability distribution; discrete and continuous distribution; statistical confidence; goodness of fits; and series of events. (b) Reliability data analysis. The main aim of this section is to establish the required knowledge base to analyse data related to reliability problems solving. The skills acquired through this section will help a candidate in sound decision making in regard to reliability assessment and improvement. The topics covered in this section include probability plotting techniques; ranking of data; lognormal probability plots; Weibull probability plots; hazard plotting; reliability analysis of repairable systems; and probability plotting for binomial data. (c) Computer applications in reliability engineering. This section will involve introducing students to reliability software packages available. Knowledge of personal computers would be a prerequisite for this section.

Back to the 1999 Distance Education Handbook