A DBN based reactive maintenance model for a complex system in thermal power plants

Evaluation of proactive maintenance policies on a stochastically dependent hidden multi-component system using DBNs

“…Özgür-Ünlüakın et al [31] propose eight number-based maintenance methods with two different efficiency measures to select a component at a reactive maintenance time. These methods are enriched by considering also the maintenance cost of components to minimize the total horizon cost and experimented on reactive maintenance strategy.…”

“…DBNs provide a very efficient environment to model such relationships and dependencies by conditional probabilities. Özgür-Ünlüakın et al [31] develop a DBN model for the RAH system where the relationships and dependencies among the components are determined based on expert opinions in the power plant and the conditional probabilities 1 in the model are defined according to transition rates, historical data and expert judgment. In this paper, we use the same DBN model depicted in Fig.…”

Investigation of various maintenance parameters for auxiliaries in a coal‐handling plant aided by a Visual Basic 6.0–based scheduled program

“…[8][9][10][11][12][13][14][15] Most optimization studies are observed to be based on mathematical modeling, which are time consuming and complicated, and well suited for large process plants. [15][16][17][18][19][20][21][22][23][24][25] Therefore, this software has been developed to address such issues for CHP department in thermal power station. It has a major advantage over existing models due to its applicability to large and small-scale process plants.…”

“…Gupta reported that to achieve the goal of maximum power generation from coal‐based power plant it is required to run the various subsystem of the concerned system of plant, failure‐free for a long duration. Özgür‐Ünlüakın et al formulated corrective maintenance methodology through dynamic Bayesian network to address regenerative air heating systems in thermal energy plants with many interacting parts. Using Lagrangian relaxation techniques integrated in dynamic programming, Faddoula and Chateauneuf suggested minimization approach for the maintenance costs of reliability‐bound series systems.…”

“…Several works exist on maintenance optimization for fault diagnosis in various process plants in the literature . Most optimization studies are observed to be based on mathematical modeling, which are time consuming and complicated, and well suited for large process plants . Therefore, this software has been developed to address such issues for CHP department in thermal power station.…”