Articles liés à Reliability Data Handbook.
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Synopsis
The Reliability Data Handbook focuses on the complete process of data collection, analysis and quality control. The subject of reliability data is covered in depth, reflecting the author's considerable experience and expertise in the field. This book is invaluable for practicing engineers in all industries who are performing quantitative reliability, safety or risk studies.
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Présentation de l'éditeur
TheReliability Data Handbook is exceptional in both its approachand coverage, giving a uniquely comprehensive account of thesubject. Component failure rate data are a vital part of any reliability orsafety study and highly relevant to the engineering communityacross many disciplines. The Reliability Data Handbook focuses on the complete process of data collection, analysis andquality control. The subject of reliability data is covered in geatdepth, reflecting the author′s considerable experience andexpertise in this field. Rarely is reliability data ′clean′. Thereare problems in its collection due to poor recording of the exactcause of failure. The time to failure of many items in the datacollection scheme may not be known due to censoring and truncationissues. For new equipment or very reliable equipment there may beno data available at all. All of these practical facets of dataused in real–world reliability studies are contained in thisbook. Analysis methods are not presented in a clinical way – they are putinto context, considering the difficulties that can arise whenperforming assessments of actual systems. A unique feature is thatthe text is always fully illustrated with worked examples, manyfrom the author′s own experience in industry. CONTENTS INCLUDE Introduction objectives and scope Component, equipment and system reliability, reliabilitymodels for non–repairable and repairable equipment Failure patterns, failure rate calculations Discreet and continuous distributions, scatter diagrams andhistograms The Weibull distribution and Weibull analysis The Duane reliability growth model Reliability forecasting, basic models, data requirements Reliability statistics, sources of generic data, tables ofequipment and component failure rates Data collection and quality control Reliability testing, inspection and maintenance decisionanalysis.
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