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SUMMARY:Maintenance Optimization for Complex Assets - Zhenglin Liang (Rese
 arch Associate)
DTSTART:20160304T100000Z
DTEND:20160304T104500Z
UID:TALK64900@talks.cam.ac.uk
CONTACT:Yongjiang Shi
DESCRIPTION:Zhenglin Liang from DIAL would like to share his research work
  on asset maintenance.  Zhenglin finished his PhD in the last year.\n\n"Th
 e reliability engineering community has been battling with the difficulty 
 of modelling the complex behaviour of asset deterioration. One of the key 
 research areas receiving increasing attention is to use mathematical model
 s to capture the phenomenon of ageing dependence among components within m
 ulti-component assets. In a multi-component asset\, a fault induced by a m
 alfunctioned component may further propagate to other components\, resulti
 ng in the accelerated deterioration of the asset. It is referred as fault 
 propagation."\n\n"In my research\, a two-layered approach is developed to 
 mimic the deterioration of a multi-component asset with fault propagation.
  In the lower layer\, the phenomenon of fault propagation is modelled usin
 g a vector-valued continuous-time Markov chain. In order to overcome the s
 tate space explosion problem that might arise when modelling this behaviou
 r for complex multi-component assets\, a novel partitioning algorithm for 
 Markov aggregation is implemented to reduce the state-space. This results 
 in a compact upper layer deterioration model. This model is then used to e
 xamine the impact of fault propagation on the failure time distribution an
 d the expected lifetime of the asset. The results show that the fault prop
 agation has a noteworthy impact on those two indicators. To alleviate the 
 impact of fault propagation\, a conditional fault mitigating maintenance m
 odel is designed to use fault preventive maintenance to mitigate the risk 
 of fault propagation. It is seen that such a policy increases asset availa
 bility and lowers the operational cost of the asset. Simulated Annealing i
 s employed to search for the optimised maintenance policy aimed at maximis
 ing availability and minimising operational cost."\n\n"The models develope
 d are validated using a real case example of high-voltage power transforme
 rs. As a result\, it is shown that the risk of fault propagation can be st
 rategically mitigated in high-voltage power transformers. The model and th
 e case study has the potential to stimulate the realization of other inter
 esting applications and evoke awareness of the phenomenon of fault propaga
 tion\, and provide asset managers with a more sophisticated maintenance st
 rategy for multi-component assets."\n
LOCATION:Seminar Room 1\, IfM\, 17 Charles Babbage Road
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