2022
DOI: 10.1108/jqme-04-2021-0032
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RBM-MCDM framework for optimization of maintenance and inspection intervals of small unmanned aircrafts

Abstract: PurposeUnmanned aircraft applications are quickly expanded in different fields. These systems are complex that include several subsystems with different types of technologies. Maintenance and inspection planning is necessary to obtain optimal performance and effectiveness. The failure rate in these systems is more than commercial and manned aircraft since they are usually cheaper. But maintenance and operation planning are difficult because we deal with a system that has multi-components, multi-failure models,… Show more

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Cited by 2 publications
(2 citation statements)
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“…In some cases, maintenance of one component may lead to machine failure, causing production to stop. AliFarsi [20] proposed a framework for determining the optimal maintenance and inspection plan for a system based on risk-based maintenance to improve the system's reliability and availability. The framework was developed with a practical perspective and expert input, but did not take spare parts inventory into consideration.…”
Section: Identifying Failure Modes Based Inventorymentioning
confidence: 99%
“…In some cases, maintenance of one component may lead to machine failure, causing production to stop. AliFarsi [20] proposed a framework for determining the optimal maintenance and inspection plan for a system based on risk-based maintenance to improve the system's reliability and availability. The framework was developed with a practical perspective and expert input, but did not take spare parts inventory into consideration.…”
Section: Identifying Failure Modes Based Inventorymentioning
confidence: 99%
“…DBN is a probabilistic generative model based on DL technology [20]. The purpose of the sequential stacking of multiple basic RBMs is to achieve layer-by-layer feature extraction of the input sample data, while the discriminative classification layer is usually realized by using the softmax function [21].…”
Section: Deep Belief Network (Dbn)mentioning
confidence: 99%