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From Prognosis and Health Systems Management to Predictive Maintenance 2 : Knowledge, Reliability and Decision.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Somerset :
John Wiley & Sons, Incorporated,
2017.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Half-Title Page; Title Page; Copyright Page; Contents; Introduction; PART 1. Traceability of Information and Knowledge Management; 1. Intelligent Traceability of Equipment; 1.1. Introduction; 1.2. State-of-the-art intelligent products; 1.2.1. Definition of intelligent products; 1.2.2. Research on intelligent products; 1.2.3. Infrastructure of an intelligent product and RFID; 1.3. Knowledge management approach; 1.3.1. Knowledge capitalization process; 1.3.2. PLM ontologies; 1.3.3. Proposition of IMAMO_RFID; 1.4. Intelligent product: data flow and distributed memory.
- 1.4.1. Architecture of an intelligent product1.4.2. Stream of data and information in the MOL phase; 1.4.3. Distributed memory: RFID tag and LIFE RECORD; 1.4.4. Stream of information during the MOL phase; 1.5. Support service for component's recycling; 1.5.1. Implementation of an intelligent equipment and decision support service; 1.6. Conclusion; 2. A Knowledge-oriented Maintenance Platform; 2.1. Introduction; 2.2. Software architectures of maintenance support systems; 2.2.1. Exchanged data, information, knowledge and competence; 2.2.2. Relations between information systems.
- 2.2.3. Characterization of maintenance systems2.3. Projects and works on e-maintenance; 2.3.1. Projects and works on e-maintenance; 2.3.2. Overview of state-of-the-art e-maintenance systems and platforms; 2.3.3. Project platforms; 2.3.4. Academic platforms; 2.3.5. Summary; 2.4. Maintenance, e-maintenance, s-maintenance; 2.4.1. General; 2.4.2. E-maintenance; 2.4.3. Definitions of the e-maintenance concept; 2.4.4. S-maintenance; 2.4.5. S-maintenance platform; 2.5. Conclusion; 3. Intelligent Traceability Application; 3.1. Introduction; 3.2. Description of the equipment to be maintained.
- 3.3. Infrastructure of intelligent equipment3.4. The s-maintenance platform; 3.5. Web services; 3.5.1. Communication between the platform and the mobile reader; 3.5.2. Web service: fixed RFID antenna-platform; 3.6. Service for monitoring diagnostic and prognostic; 3.7. Knowledge capitalization service; 3.7.1. Data model; 3.7.2. Simulation of the life record; 3.8. Decision support service for the recycling of hydraulic jacks; 3.9. Conclusion; PART 2. Post-prognostic Decision; 4. Position of Decision within the PHM Context; 4.1. Introduction; 4.2. Definition of post-prognostic decision.
- 4.3. Which objectives?4.4. Types of decisions; 4.4.1. Automatic control improved by prognostics; 4.4.2. Optimization of maintenance; 4.4.3. Adjustment of missions with respect to the equipment's health state; 4.5. The subject of a decision; 4.6. Typology of decisions in PHM (temporal, granularity and objective types); 4.6.1. Typology of decisions within PHM; 4.7. Decision methods; 4.8. Summary; 5. Towards a Policy of Predictive Maintenance; 5.1. Decision problem; 5.2. Hypotheses and data; 5.2.1. Equipment; 5.2.2. Maintenance operations; 5.2.3. Maintenance resources.