Prognostics and health management: a practical approach to improving system reliability using conditioned-based data
72 CHAPTER 2: APPROACHES FOR PROGNOSIS AND HEALTH MANAGEMENT (PHM) 1 2.1 Approaches for Prognosis and Health Management (PHM) 1 2.1.1 Model-based Prognostic Approaches 1 2.1.2 Data-driven Prognostic Approaches 2 2.1.3 Hybrid Prognostic Approaches 2 2.1.4 Objectives for this Chapter 3 2.1.5 Chapter O...
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| Beteiligte Personen: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, NJ
Wiley
[2019]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119356653/?ar |
| Zusammenfassung: | 72 CHAPTER 2: APPROACHES FOR PROGNOSIS AND HEALTH MANAGEMENT (PHM) 1 2.1 Approaches for Prognosis and Health Management (PHM) 1 2.1.1 Model-based Prognostic Approaches 1 2.1.2 Data-driven Prognostic Approaches 2 2.1.3 Hybrid Prognostic Approaches 2 2.1.4 Objectives for this Chapter 3 2.1.5 Chapter Organization 3 2.2 Model-based Prognostics 2.2.1 Analytical Modeling 5 2.2.2 Distribution Modeling 10 2.2.3 Physics of Failure (PoF) and Reliability Modeling 12 2.2.4 Acceleration Factor (AF) 14 2.2.5 Complexity Related to Reliability Modeling 16 2.2.6 Failure Distribution 18 2.2.7 Multiple Modes of Failure: Failure Rate and FIT 19 2.2.8 Advantages and Disadvantages of Model-based Prognostics 19 2.3 Data-driven Prognostics 20 2.3.1 Statistical Methods 20 2.3.2 Machine Learning (ML): Classification and Clustering 26 2.4. |
| Beschreibung: | Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781119356707 1119356709 9781119356691 1119356695 9781119356677 1119356679 |
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| 520 | |a 72 CHAPTER 2: APPROACHES FOR PROGNOSIS AND HEALTH MANAGEMENT (PHM) 1 2.1 Approaches for Prognosis and Health Management (PHM) 1 2.1.1 Model-based Prognostic Approaches 1 2.1.2 Data-driven Prognostic Approaches 2 2.1.3 Hybrid Prognostic Approaches 2 2.1.4 Objectives for this Chapter 3 2.1.5 Chapter Organization 3 2.2 Model-based Prognostics 2.2.1 Analytical Modeling 5 2.2.2 Distribution Modeling 10 2.2.3 Physics of Failure (PoF) and Reliability Modeling 12 2.2.4 Acceleration Factor (AF) 14 2.2.5 Complexity Related to Reliability Modeling 16 2.2.6 Failure Distribution 18 2.2.7 Multiple Modes of Failure: Failure Rate and FIT 19 2.2.8 Advantages and Disadvantages of Model-based Prognostics 19 2.3 Data-driven Prognostics 20 2.3.1 Statistical Methods 20 2.3.2 Machine Learning (ML): Classification and Clustering 26 2.4. | ||
| 650 | 0 | |a Machinery |x Reliability | |
| 650 | 0 | |a Equipment health monitoring | |
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| 650 | 4 | |a TECHNOLOGY & ENGINEERING ; Mechanical | |
| 650 | 4 | |a Equipment health monitoring | |
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| spelling | Goodman, Douglas VerfasserIn aut Prognostics and health management a practical approach to improving system reliability using conditioned-based data Douglas Goodman, Chief Engineer, Ridgetop Group, Inc., James P Hofmeister, Distinguished Engineer, Ridgetop Group, Inc., Dr. Ferenc Szidarovszky, Senior Researcher, Ridgetop Group, Inc Hoboken, NJ Wiley [2019] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher 72 CHAPTER 2: APPROACHES FOR PROGNOSIS AND HEALTH MANAGEMENT (PHM) 1 2.1 Approaches for Prognosis and Health Management (PHM) 1 2.1.1 Model-based Prognostic Approaches 1 2.1.2 Data-driven Prognostic Approaches 2 2.1.3 Hybrid Prognostic Approaches 2 2.1.4 Objectives for this Chapter 3 2.1.5 Chapter Organization 3 2.2 Model-based Prognostics 2.2.1 Analytical Modeling 5 2.2.2 Distribution Modeling 10 2.2.3 Physics of Failure (PoF) and Reliability Modeling 12 2.2.4 Acceleration Factor (AF) 14 2.2.5 Complexity Related to Reliability Modeling 16 2.2.6 Failure Distribution 18 2.2.7 Multiple Modes of Failure: Failure Rate and FIT 19 2.2.8 Advantages and Disadvantages of Model-based Prognostics 19 2.3 Data-driven Prognostics 20 2.3.1 Statistical Methods 20 2.3.2 Machine Learning (ML): Classification and Clustering 26 2.4. Machinery Reliability Equipment health monitoring Machinery Maintenance and repair Planning Structural failures Mathematical models Machines ; Fiabilité Machines ; Entretien et réparations ; Planification Constructions ; Effondrement ; Modèles mathématiques TECHNOLOGY & ENGINEERING ; Mechanical Machinery ; Reliability Structural failures ; Mathematical models Hofmeister, James P. VerfasserIn aut Szidarovszky, Ferenc VerfasserIn aut 9781119356653 Erscheint auch als Druck-Ausgabe 9781119356653 |
| spellingShingle | Goodman, Douglas Hofmeister, James P. Szidarovszky, Ferenc Prognostics and health management a practical approach to improving system reliability using conditioned-based data Machinery Reliability Equipment health monitoring Machinery Maintenance and repair Planning Structural failures Mathematical models Machines ; Fiabilité Machines ; Entretien et réparations ; Planification Constructions ; Effondrement ; Modèles mathématiques TECHNOLOGY & ENGINEERING ; Mechanical Machinery ; Reliability Structural failures ; Mathematical models |
| title | Prognostics and health management a practical approach to improving system reliability using conditioned-based data |
| title_auth | Prognostics and health management a practical approach to improving system reliability using conditioned-based data |
| title_exact_search | Prognostics and health management a practical approach to improving system reliability using conditioned-based data |
| title_full | Prognostics and health management a practical approach to improving system reliability using conditioned-based data Douglas Goodman, Chief Engineer, Ridgetop Group, Inc., James P Hofmeister, Distinguished Engineer, Ridgetop Group, Inc., Dr. Ferenc Szidarovszky, Senior Researcher, Ridgetop Group, Inc |
| title_fullStr | Prognostics and health management a practical approach to improving system reliability using conditioned-based data Douglas Goodman, Chief Engineer, Ridgetop Group, Inc., James P Hofmeister, Distinguished Engineer, Ridgetop Group, Inc., Dr. Ferenc Szidarovszky, Senior Researcher, Ridgetop Group, Inc |
| title_full_unstemmed | Prognostics and health management a practical approach to improving system reliability using conditioned-based data Douglas Goodman, Chief Engineer, Ridgetop Group, Inc., James P Hofmeister, Distinguished Engineer, Ridgetop Group, Inc., Dr. Ferenc Szidarovszky, Senior Researcher, Ridgetop Group, Inc |
| title_short | Prognostics and health management |
| title_sort | prognostics and health management a practical approach to improving system reliability using conditioned based data |
| title_sub | a practical approach to improving system reliability using conditioned-based data |
| topic | Machinery Reliability Equipment health monitoring Machinery Maintenance and repair Planning Structural failures Mathematical models Machines ; Fiabilité Machines ; Entretien et réparations ; Planification Constructions ; Effondrement ; Modèles mathématiques TECHNOLOGY & ENGINEERING ; Mechanical Machinery ; Reliability Structural failures ; Mathematical models |
| topic_facet | Machinery Reliability Equipment health monitoring Machinery Maintenance and repair Planning Structural failures Mathematical models Machines ; Fiabilité Machines ; Entretien et réparations ; Planification Constructions ; Effondrement ; Modèles mathématiques TECHNOLOGY & ENGINEERING ; Mechanical Machinery ; Reliability Structural failures ; Mathematical models |
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