| Reliability Analysis for Engineers: An Introduction Contributor(s): Leitch, Roger D. (Author) |
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ISBN: 019856371X ISBN-13: 9780198563716 Publisher: Oxford University Press, USA OUR PRICE: $70.30 Product Type: Paperback Published: July 1995 Annotation: In ordinary life "reliability" is an ephemeral but desirable property of a machine or service that is generally judged in a very subjective manner. But for an engineer, reliability has large financial implications in terms of maintenance policies, running costs, and spares stockholding. In safety critical situations (transport or military equipment), the implications are wider; therefore, it is very important to be able to quantify reliability. This book is an introduction to reliability analysis. Since it is aimed at engineers, it begins by assuming no prior statistical knowledge. It teaches by example taken from engineering problems. Exercises are built around real machines and events, and the solutions given illuminate the subject. It is the first book of its kind aimed at those for whom reliability analysis has far-reaching consequences. |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Quality Control - Technology & Engineering | Engineering (general) - Technology & Engineering | Industrial Health & Safety |
| Dewey: 620.004 |
| LCCN: 94-43731 |
| Series: Oxford Science Publications |
| Physical Information: 0.65" H x 6.16" W x 9.11" (0.80 lbs) 248 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: In ordinary life reliability is an ephemeral but desirable property of a machine or service that is generally judged in a very subjective manner. But for an engineer, reliability has large financial implications in terms of maintenance policies, running costs, and spares stockholding. In safety critical situations (transport or military equipment), the implications are wider; therefore, it is very important to be able to quantify reliability. This book is an introduction to reliability analysis. Since it is aimed at engineers, it begins by assuming no prior statistical knowledge. It teaches by example taken from engineering problems. Exercises are built around real machines and events, and the solutions given illuminate the subject. It is the first book of its kind aimed at those for whom reliability analysis has far-reaching consequences. |