This text covers the measurement and prediction of the reliability behaviour of systems of physical items. The six techniques covered are: probability theory; distributional statistics; Markov methods; fault and event trees; theory of renewal processes; and directional graph theory. This book relates all these methods to one another and to their applications. The authors are engineers rather than statisticians and take a practitioner's view of the degree of rigour required to "prove" mathematical results. The aim is to make each technique and its limitations clear to working engineers, and every effort has been made to keep the mathematical explanations as simple as possible. Nevertheless some prior knowledge of algebra, calculus, probability and statistics is assumed, to about the level usually reached in European courses for Bachelor's degrees in engineering. The book should be useful to reliability, systems and design engineers in industry as well as graduate students and educators in all branches of engineering.

This book is about the measurement and prediction of the reliability behaviour of systems of physical items. It is not specifically concerned with human factors with safety analysis as such, although some of the techniques discussed are adaptable to these purposes. A machine or an electronic circuit exemplifies a system. Each machine or circuit may also be treated as an item in a larger system. However, this does not reduce it suddenly to basic component status; it remains complex and can only be treated as unitary under definable restrictions. In particular, the effects of maintenance and component renewal must be considered most carefully. Previous books on system reliability have concentrated on one or two only of the six principal techniques available to the analyst. These are: 1. probability theory; 2. distributional statistics; 3. markov methods (matrix algebra); 4. fault and event trees (Boolean logic); 5. theory of renewal processes; 6. directional graph theory (di-graphs). This book relates these methods to one another and to their applications. The authors feel that previous books which concentrated upon one tech nique and the contortions necessary to use it in every possible situation may have misled readers into believing that there were no other methods and that some real problems were intractable or more difficult to solve than need be. For example, several results which are proved in other books for items with exponentially distributed times to/between failures are shown to be independent of distribution."