支持基于智能技术和预测分析的复杂技术系统的生命周期

Collection of selected papers of the III International Conference on Information Technology and Nanotechnology Pub Date : 2019-01-01 DOI:10.18287/1613-0073-2019-2416-314-323

V. Blinov, S. Valeev, N. Kondratyeva, R. Karimov, Alexey S. Kovtunenko, E. Kuzmina

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引用次数: 1

摘要

讨论了预测分析在复杂技术系统设计、生产和运行中的应用，以实现复杂技术系统生命周期的效率。提出了一种基于神经网络的微卫星推进系统生命周期信息支持预测模型。该预测模型可以解决小型推进系统的油耗估计、故障诊断和故障检测等问题。

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Supporting the life cycle of complex technical systems on the basis of intelligent technologies and predictive analytics

The application of predictive analytics in the design, production and operation to achieve the efficiency of the life cycle of complex technical systems is discussed. A predictive model of information support for the life cycle of a microsatellite propulsion system based on a neural network system is proposed. The predictive model can solve the problem of estimating fuel consumption, diagnosing and detecting possible failures of a small propulsion system.

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Collection of selected papers of the III International Conference on Information Technology and Nanotechnology

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