Computational adaptive multivariable degradation model for improving the remaining useful life prediction in industrial systems

Springer Science and Business Media LLC - Tập 41 - Trang 1-28 - 2022
Adriana Villalón-Falcón1, Alberto Prieto-Moreno1, Marcos Quiñones-Grueiro2, Orestes Llanes-Santiago1
1Universidad Tecnológica de La Habana José Antonio Echeverría, CUJAE, Marianao, Cuba
2Vanderbit University, Nashville, USA

Tóm tắt

Accuracy in predicting the remaining useful life (RUL) of industrial systems is crucial for maintenance tasks. Obtaining models that improve the RUL prediction and that are increasingly adjusting to the reality of the process is an open research problem. This paper proposes an adaptive method for predicting RUL based on modeling the behavior of multiple variables during degradation. The information from each model is weighted to predict the RUL of the system, improving the prediction results significantly. The proposed method is applied to NASA Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) dataset benchmark, showing promising results. Finally, a comparison is made with current prediction techniques present in the scientific literature where it is evidenced that the proposed model has better results.

Tài liệu tham khảo

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