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Week | Date
| Subject | Lectured topics | Motivation | Lecturer | Tutorials | ||||||
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35 | 25. & 26.8 | All | 1st hour:
2nd-3rd hour:hours
| Inform the students about the course objectives, intended learning outcomes, and practicalities.
| Mary Ann |
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36 | 2.-3.9 | 2 | Age, block, and minimal repair strategies | 1 | IEC 61508 - its application area | IEC 61508 is a key standard on design of Maintenance optimization: The intervals of maintenance for safety-critical systems are normally determined from the reliability analyses. For other systems, we may use decide upon intervals of testing using different maintenance strategies established by the RCM decision logic. These models include parameters like costs, failure rates, and aging. The models come of with the answer to the following two questions: When should we do maintenance and what tasks and equipment should be included. The application of these methods are many. Two examples are maintenance planning of railway tracks and another is planning of intervention (for maintenance purposes) of subsea equipment. Sub-topics also covered under the same "umbrella" are:
| Jørn | |||||
37 | 9.-10.9 | 2 | Age, block, and minimal repair strategies (continued) | |||||||||
38 | 16.-17.9 | 2 | Spare-part optimization | Spare parts may be costly to have on the stock, but at the same time it is costly not to have a spare part available when it is needed. This topic concern how to calculate the probability of running out of spares, using simple formulas and Markov analyses. The use of PetriNets for this purpose is also shown. This topic may not be some relevant for very specialized systems, where it is not possible to aquire a spare within short time. For a manufacturer that develops products, such as sensors, in a large scale to e.g. the oil and gas industry, it may be relevant to find the optimal number of spare parts for warranty and repair services. | Yiliu (Mary Ann | |||||||
39 | ||||||||||||
, when the technology used include electrical, electronic, and programmable electronic systems. Many authority regulations Petroleum, railway, nuclear, automotive, etc) refer to this standard, or standards that are under the "umbrella" of this standard. The standard introduces several key concepts including equipment under control, safety integrity level, safety lifecycle, functional safety, risk reduction factor, and many more. | ||||||||||||
37 | 9.-10.9 | 2 | ||||||||||
38 | 16.-17.9 | 2 |
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39 | ||||||||||||
40 | ||||||||||||
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42 | 40 | |||||||||||
43 | 41 | |||||||||||
42 | ||||||||||||
43 | ||||||||||||
44 | 27&28.10 | |||||||||||
45 | 4&5.11 | |||||||||||
44 | 27&28.10 | 2 | Age, block, and minimal repair strategies | Maintenance optimization:
| Jørn | |||||||
45 | 4&5.11 | 2 | Age, block, and minimal repair strategies (continued) | Jørn | ||||||||
46 | 11&12.11 | 2 | Spare-part optimization | Spare parts may be costly to have on the stock, but at the same time it is costly not to have a spare part available when it is needed. This topic concern how to calculate the probability of running out of spares, using simple formulas and Markov analyses. The use of PetriNets for this purpose is also shown. This topic may not be some relevant for very specialized systems, where it is not possible to acquire a spare within short time. For a manufacturer that develops products, such as sensors, in a large scale to e.g. the oil and gas industry, it may be relevant to find the optimal number of spare parts for warranty and repair services. | Yiliu (Mary Ann | 46 | 11&12.11 |
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47 | 18.&19.11 | N/A | Student presentations (also using tutorial hours) | Students get the possibility to reflect on the lectured topics and in particular to see how these are related to their specialization project, and how they may be applicable for their master project. | ||||||||
48 | Summary | |||||||||||
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