Titlebook: Reliability and Statistics in Transportation and Communication; Selected Papers from Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis Confe

除草劑

Economic Efficiency of Data-Driven Fault Diagnosis and Prognosis Techniques in Maintenance and Repaiis, and health management techniques create unique opportunities to increase the efficiency of Maintenance and Repair Organization (MRO) activity and, as a result, to reduce airline maintenance costs. Nevertheless, despite the widespread data-driven prognosis ideas, the economic success of MRO in da

良心

ULCER

Aircraft Lifecycle Digital Twin for Defects Prediction Accuracy Improvementangar capacity and materials. Standard experience-based approach that uses man-hours rate to scheduled works taking into account aircraft age together with prediction of spare parts requirements on the basis of historical consumption does not provide sufficient accuracy as each airplane has unique o

Formidable

Intellectual Environment as an Inventory Management Decision Support System for Aviation Maintenancer producing an intellectual environment as an inventory management decision support system for aviation maintenance. It is designed as particularization for cross-industry standard process for data mining introduced and discussed in detail. Hints for overcoming problems in implementation machine lea

CESS

Defining the Proper Model for Aviation Spare Parts Forecastound due to maintenance reason. Industry statistics show that the ground time because of aircraft repair is influenced by the lack of a spare part needed to be installed. Research in this area shows that in Russia 70–75% of time aircraft spend on the ground due to this reason..A focus-group survey o

戲法

epidermis

Neuroevolutionary Approach to Metamodeling of Production-Inventory Systems with Lost-Sales and Markoosed framework incorporates multilayer perceptron and genetic algorithm. As a numerical example this paper also demonstrates the application of this framework to metamodeling of multiproduct production-inventory system with lost-sales and Markov-modulated demand.

Vulnerary

Markov-Modulated Processes, Their Applications and Big Data Cases: State of the Arte study begins with an overview of Markov-additive processes, the earliest models found in the literature, which in turn are generalizations of Lévy processes. A Markov-additive process is a double-layer Markov process ., where component . is additive and conditional increment depends only on Markov

直覺沒有

heart-murmur