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Prognostics and Health Management : a Practical Approach to Improving System Reliability Using Condition-Based Data.
A comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and life. Prognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improvi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2019.
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| Colección: | Quality and Reliability Engineering Ser.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Goodman, Douglas. | |
| 245 | 1 | 0 | |a Prognostics and Health Management : |b a Practical Approach to Improving System Reliability Using Condition-Based Data. |
| 260 | |a Newark : |b John Wiley & Sons, Incorporated, |c 2019. | ||
| 300 | |a 1 online resource (385 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Quality and Reliability Engineering Ser. | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Title Page; Copyright; Contents; List of Figures; Series Editor's Foreword; Preface; Acknowledgments; Chapter 1 Introduction to Prognostics; 1.1 What Is Prognostics?; 1.1.1 Chapter Objectives; 1.1.2 Chapter Organization; 1.2 Foundation of Reliability Theory; 1.2.1 Time-to-Failure Distributions; 1.2.2 Probability and Reliability; 1.2.3 Probability Density Function; 1.2.4 Relationships of Distributions; 1.2.5 Failure Rate; 1.2.6 Expected Value and Variance; 1.3 Failure Distributions Under Extreme Stress Levels; 1.3.1 Basic Models; 1.3.2 Cumulative Damage Models | |
| 505 | 8 | |a 1.3.3 General Exponential Models1.4 Uncertainty Measures in Parameter Estimation; 1.5 Expected Number of Failures; 1.5.1 Minimal Repair; 1.5.2 Failure Replacement; 1.5.3 Decreased Number of Failures Due to Partial Repairs; 1.5.4 Decreased Age Due to Partial Repairs; 1.6 System Reliability and Prognosis and Health Management; 1.6.1 General Framework for a CBM-Based PHM System; 1.6.2 Relationship of PHM to System Reliability; 1.6.3 Degradation Progression Signature (DPS) and Prognostics; 1.6.4 Ideal Functional Failure Signature (FFS) and Prognostics; 1.6.5 Non-ideal FFS and Prognostics | |
| 505 | 8 | |a Chapter 2 Approaches for Prognosis and Health Management/Monitoring (PHM)2.1 Introduction to Approaches for Prognosis and Health Management/Monitoring (PHM); 2.1.1 Model-Based Prognostic Approaches; 2.1.2 Data-Driven Prognostic Approaches; 2.1.3 Hybrid Prognostic Approaches; 2.1.4 Chapter Objectives; 2.1.5 Chapter Organization; 2.2 Model-Based Prognostics; 2.2.1 Analytical Modeling; 2.2.2 Distribution Modeling; 2.2.3 Physics of Failure (PoF) and Reliability Modeling; 2.2.4 Acceleration Factor (AF); 2.2.5 Complexity Related to Reliability Modeling; 2.2.6 Failure Distribution | |
| 505 | 8 | |a 2.2.7 Multiple Modes of Failure: Failure Rate and FIT2.2.8 Advantages and Disadvantages of Model-Based Prognostics; 2.3 Data-Driven Prognostics; 2.3.1 Statistical Methods; 2.3.2 Machine Learning (ML): Classification and Clustering; 2.4 Hybrid-Driven Prognostics; 2.5 An Approach to Condition-Based Maintenance (CBM); 2.5.1 Modeling of Condition-Based Data (CBD) Signatures; 2.5.2 Comparison of Methodologies: Life Consumption and CBD Signature; 2.5.3 CBD-Signature Modeling: An Illustration; 2.6 Approaches to PHM: Summary; References; Further Reading; Chapter 3 Failure Progression Signatures | |
| 500 | |a 3.1 Introduction to Failure Signatures | ||
| 520 | |a A comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and life. Prognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This proven approach uses electronic signatures extracted from conditioned-based electrical signals, including those representing physical components, and employs processing methods that include data fusion and transformation, domain transformation, and normalization, canonicalization and signal-level translation to support the determination of predictive diagnostics and prognostics. Written by noted experts in the field, Prognostics and Health Management clearly describes how to extract signatures from conditioned-based data using conditioning methods such as data fusion and transformation, domain transformation, data type transformation and indirect and differential comparison. This important resource: -Integrates data collecting, mathematical modelling and reliability prediction in one volume -Contains numerical examples and problems with solutions that help with an understanding of the algorithmic elements and processes -Presents information from a panel of experts on the topic -Follows prognostics based on statistical modelling, reliability modelling and usage modelling methods Written for system engineers working in critical process industries and automotive and aerospace designers, Prognostics and Health Management offers a guide to the application of condition-based data to produce signatures for input to predictive algorithms to produce prognostic estimates of functional health and life. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Technology. | |
| 650 | 6 | |a Technologie. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Quality Control. |2 bisacsh | |
| 650 | 7 | |a Technology |2 fast | |
| 700 | 1 | |a Hofmeister, James P. | |
| 700 | 1 | |a Szidarovszky, Ferenc. | |
| 776 | 0 | 8 | |i Print version: |a Goodman, Douglas. |t Prognostics and Health Management : A Practical Approach to Improving System Reliability Using Condition-Based Data. |d Newark : John Wiley & Sons, Incorporated, ©2019 |z 9781119356653 |
| 830 | 0 | |a Quality and Reliability Engineering Ser. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5744605 |z Texto completo |
| 880 | 8 | |6 505-00/(S |a 1.7 Prognostic Information1.7.1 Non-ideality: Initial-Estimate Error and Remaining Useful Life (RUL); 1.7.2 Convergence of RUL Estimates Given an Initial Estimate Error; 1.7.3 Prognostic Distance (PD) and Convergence; 1.7.4 Convergence: Figure of Merit (χα); 1.7.5 Other Sources of Non-ideality in FFS Data; 1.8 Decisions on Cost and Benefits; 1.8.1 Product Selection; 1.8.2 Optimal Maintenance Scheduling; 1.8.3 Condition-Based Maintenance or Replacement; 1.8.4 Preventive Replacement Scheduling; 1.8.5 Model Variants and Extensions; 1.9 Introduction to PHM: Summary; References; Further Reading | |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH35822450 | ||
| 938 | |a Recorded Books, LLC |b RECE |n rbeEB00757820 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5744605 | ||
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