Practical Reliability Data Analysis for Non-Reliability Engineers
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| Title: | Practical Reliability Data Analysis for Non-Reliability Engineers |
|---|---|
| Description: | This practical resource presents basic probabilistic and statistical methods or tools used to extract the information from reliability data to make sound decisions. It consolidates and condenses the reliability data analysis methods most often used in everyday practice into an easy-to-follow guide, while also providing a solid foundation from which to explore more complex methods if desired. The book provides mathematical and Excel spreadsheet formulas to estimate parameters and confidence bounds (uncertainty) for the most common probability distributions used in reliability analysis. Several other Excel tools are provided to aid users without access to expensive, dedicated, commercial tools. This book and tools were developed by the authors after many years of teaching the fundamentals of reliability data analysis to a broad range of technical and non-technical military and civilian personnel, making it useful for both novice and experienced engineers. |
| Authors: | Brooker, Darcy, Gerrand, Mark |
| Resource Type: | eBook. |
| Subjects: | Reliability (Engineering)--Statistical methods |
| Categories: | COMPUTERS / Data Science / Data Analytics |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Practical Reliability Data Analysis for Non-Reliability Engineers – Name: Abstract Label: Description Group: Ab Data: This practical resource presents basic probabilistic and statistical methods or tools used to extract the information from reliability data to make sound decisions. It consolidates and condenses the reliability data analysis methods most often used in everyday practice into an easy-to-follow guide, while also providing a solid foundation from which to explore more complex methods if desired. The book provides mathematical and Excel spreadsheet formulas to estimate parameters and confidence bounds (uncertainty) for the most common probability distributions used in reliability analysis. Several other Excel tools are provided to aid users without access to expensive, dedicated, commercial tools. This book and tools were developed by the authors after many years of teaching the fundamentals of reliability data analysis to a broad range of technical and non-technical military and civilian personnel, making it useful for both novice and experienced engineers. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Brooker%2C+Darcy%22">Brooker, Darcy</searchLink><br /><searchLink fieldCode="AR" term="%22Gerrand%2C+Mark%22">Gerrand, Mark</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Reliability+%28Engineering%29--Statistical+methods%22">Reliability (Engineering)--Statistical methods</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 620.00452 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Reliability (Engineering)--Statistical methods Type: general Titles: – TitleFull: Practical Reliability Data Analysis for Non-Reliability Engineers Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Brooker, Darcy – PersonEntity: Name: NameFull: Gerrand, Mark – PersonEntity: Name: NameFull: Brooker, Darcy – PersonEntity: Name: NameFull: Gerrand, Mark IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 02 M: 03 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9781630818272 – Type: isbn-electronic Value: 9781630818289 Titles: – TitleFull: Practical Reliability Data Analysis for Non-Reliability Engineers Type: main |
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