Research on an on-condition maintenance decision of a complex multi-unit system

2015 ◽  
Author(s):  
J. Huang
Keyword(s):  
Unit System ◽  
Maintenance Decision

Some changes during the initial phase of the unit system in a large mental hospital

1966 ◽  
Author(s):  
Robert P. Barrell ◽  
Alan S. DeWolfe ◽  
Fred E. Spaner
Keyword(s):  
Initial Phase ◽  
Mental Hospital ◽  
Unit System

A Unit System of Freight Transportation

1920 ◽  
Vol 123 (24) ◽  
pp. 595-595
Author(s):  
Charles N. Winter
Keyword(s):  
Freight Transportation ◽  
Unit System

The notes about two prodromuses of vegetation of Russia (1998, 2012)

2012 ◽  
pp. 144-146
Author(s):  
B. M. Mirkin ◽  
L. G. Naumova
Keyword(s):  
Unit System

The changes in the structure of the higher unit system from class up to suballiance within the Braun-Blanquet system are assessed on the base of comparison of two Prodromuses of the vegetation of Russia (Solomeshch, 1998; Ermakov, 2012).

scholarly journals Bayesian maintenance decision optimisation based on computing the information value from condition inspections

2021 ◽  
pp. 1748006X2097812
Author(s):  
Guang Zou ◽  
Kian Banisoleiman ◽  
Arturo González
Keyword(s):  
Decision Making ◽  
Structural Integrity ◽  
Fatigue Cracking ◽  
Cost Effective ◽  
Offshore Structures ◽  
Information Value ◽  
Bayesian Decision ◽  
Maintenance Strategies ◽  
Optimal Maintenance ◽  
Maintenance Decision

A challenge in marine and offshore engineering is structural integrity management (SIM) of assets such as ships, offshore structures, mooring systems, etc. Due to harsh marine environments, fatigue cracking and corrosion present persistent threats to structural integrity. SIM for such assets is complicated because of a very large number of rewelded plates and joints, for which condition inspections and maintenance are difficult and expensive tasks. Marine SIM needs to take into account uncertainty in material properties, loading characteristics, fatigue models, detection capacities of inspection methods, etc. Optimising inspection and maintenance strategies under uncertainty is therefore vital for effective SIM and cost reductions. This paper proposes a value of information (VoI) computation and Bayesian decision optimisation (BDO) approach to optimal maintenance planning of typical fatigue-prone structural systems under uncertainty. It is shown that the approach can yield optimal maintenance strategies reliably in various maintenance decision making problems or contexts, which are characterized by different cost ratios. It is also shown that there are decision making contexts where inspection information doesn’t add value, and condition based maintenance (CBM) is not cost-effective. The CBM strategy is optimal only in the decision making contexts where VoI > 0. The proposed approach overcomes the limitation of CBM strategy and highlights the importance of VoI computation (to confirm VoI > 0) before adopting inspections and CBM.

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