Real-Time Maintenance Optimization Considering Health Monitoring and Additive Manufacturing

Adrian Cubillo, Suresh Perinpanayagam, Manuel Esperon-Miguez, and Philip John
Publication Target: 
IJPHM
Publication Issue: 
2
Submission Type: 
Full Paper
Supporting Agencies (optional): 
FP7/2007-2013
AttachmentSizeTimestamp
ijphm_17_016.pdf873.92 KBSeptember 28, 2017 - 3:56pm

PHM and Integrated Vehicle Health Management (IVHM) are extensive areas of research. Whereas a lot of work has been done in diagnostics and prognostics, the economic viability is also an important aspect. The availability of aircraft in the aerospace sector is a critical factor; thus, cost and downtime are the main parameters to assess the impact of IVHM. Additionally, new technologies such as Additive Manufacturing (AM) have the potential to become standard repair procedures and their viability also has to be assessed. However, to accurately study the impact of these factors the particularities of the aerospace sector have to be taken into account. Several systems of the aircraft are considered included in a single Line Replaceable Unit (LRU) that is replaced, and later repaired in the workshop without affecting the availability of the aircraft when a subcomponent fails; whereas other parts are repaired while the aircraft is on the ground and assembled again on the same aircraft. This aspect affects the cost and downtime, and also has to be taken into account to assess the viability of any new technology or IVHM system.
This paper describes a cost and downtime model to take into account all these scenarios including the impact of using different types of IVHM systems. The impact of IVHM and new repair technologies are discussed comparing maintenance cost and downtime of parts of LRUs and parts repaired when the aircraft is on the ground.
Secondly, a real-time application based on the previous maintenance cost and downtime model is presented. This application allows the optimization of maintenance in real-time by updating the availability of their resources and its corresponding cost and time. In addition, the actual prediction of the IVHM system is used to decide the optimal repair procedure instead of depending on probabilities.

Publication Year: 
2017
Publication Volume: 
8
Publication Control Number: 
016
Page Count: 
14
Submission Keywords: 
cost-benefit analysis; AM
condition-based maintenance optimization; LRU; IVHM
Submission Topic Areas: 
Economics and cost-benefit analysis
Submitted by: 
  
 
 
 

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