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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Goodman, Douglas (Industrial engineer) (Autor), Hofmeister, James P. (Autor), Szidarovszky, Ferenc (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : Wiley, [2019]
Temas:
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.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Effects and Conditioning 34 CHAPTER 6: DESIGN: ROBUST PROTOTYPE OF AN EXEMPLARY PHM SYSTEM 1 6.1 PHM System: Review 1 6.1.1 Chapter 1: Introduction to Prognostics 1 6.1.2 Chapter 2: Prognostic Approaches for Prognosis and Health Management 4 6.1.3 Chapter 3: Failure Progression Signatures 7 6.1.4 Chapter 4: Heuristic-based Approach to Modeling CBD Signatures 10 6.1.5 Chapter 5: Non-ideal Data: Effects and Conditioning 10 6.1.6 Objectives for this Chapter 12 6.1.7 Chapter Organization 13 6.2 Design Approaches for a PHM System 15 6.2.1 Select and Evaluate Targets and Their Failure Modes 15 6.2.2 Offline Prognostic Approaches: Selection of Results 16 6.2.3 Select a Base Architecture for the Online Phase 17 6.3 Sampling and Polling 17 6.3.1 Continual - Periodic Sampling 18 6.3.2 Periodic-burst Sampling 18 6.3.3 Polling 21 6.4 Initial Design

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