Optimization of periodic maintenance using condition monitoring techniques and operational data
Master thesis
Permanent lenke
http://hdl.handle.net/11250/182986Utgivelsesdato
2012Metadata
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Sammendrag
This thesis contributes optimization of periodic maintenance using condition
monitoring techniques and operational data so that maintenance can be performed
before critical equipment fails. Periodic maintenance is carried out at regular
intervals based on equipment’s failure history. In this case, the maintenance interval
is not scheduled in terms of the actual deteriorating condition of equipment.
Therefore, either over-maintenance or under-maintenance could be performed. This
will cause overstocking of spareparts, high maintenance cost and unnecessary
downtime
By using Condition monitoring techniques such as vibration analysis, ultrasonic, oil
analysis, infrared thermography, etc, the actual equipment condition can be
monitored either continuously or periodically. By integrating the actual failure data
acquired from condition monitoring techniques with historical (event) data, the
current health condition and the remaining useful life of the equipment will be
evaluated. Therefore, a suitable maintenance action can be scheduled and performed
based on the current condition and projected remaining life of equipment. A
procedure of condition monitoring is suggested in this thesis.
Even though optimizing periodic maintenance using condition monitoring techniques
leads to many benefits, there will be initial costs that may discourage the
maintenance managers. This thesis presents a cost-benefit-analysis of condition
based maintenance that helps the decision makers to decide the need of condition
based maintenance to the given system.
The last part of this thesis is to develop a methodology on how to select suitable
equipment for condition based maintenance. Different criteria such as, criticality
analysis, technical feasibility, economical analysis and others are considered for the
selection process.
Beskrivelse
Master's thesis in Offshore Technology