 | Study programme 2019-2020 | Français | |
| RAMS and statistical reliability | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-GMEC-051 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 8 | 4 | 0 | 0 | 0 | Q1 |
| Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19) |
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| Description of the modifications to the Q3 2019-2020 online assessment procedures (Covid-19) |
| Work will be requested and posted on Moodle exams for Wednesday August 26, 2020 at the latest. |
Content of Learning Activity
Identification of parametric models for statistical reliability and maintainability laws (exponential model, Weibull model, log-normal model); reliability block diagrams; non repairable and repairable systems. RAMS. Reliability during the life cycle of products.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Liliane Pintenlon, Frank Van Puyvelde, Asset management. The maintenance perspective, Acco uitgeverij, 2013
Mode of delivery
- Face to face
Type of Teaching Activity/Activities
- Cours magistraux
- Exercices dirigés
- Utilisation de logiciels
- Démonstrations
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term