Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set
S Vollert, A Theissler - 2021 26th IEEE international conference …, 2021 - ieeexplore.ieee.org
The estimation of a system's or a component's remaining useful life (RUL) is considered the
most complex task in predictive maintenance, at the same time the most beneficial one. In …
most complex task in predictive maintenance, at the same time the most beneficial one. In …
Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine
Remaining useful life (RUL) prediction is the core research task of aero-engine prognostics
health management (PHM), which is crucial to promoting the safety, reliability and economy …
health management (PHM), which is crucial to promoting the safety, reliability and economy …
[HTML][HTML] A review on the lifecycle strategies enhancing remanufacturing
RF Fofou, Z Jiang, Y Wang - Applied Sciences, 2021 - mdpi.com
Remanufacturing is a domain that has increasingly been exploited during recent years due
to its numerous advantages and the increasing need for society to promote a circular …
to its numerous advantages and the increasing need for society to promote a circular …
Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management
Making appropriate decisions is indeed a key factor to help companies facing challenges
from supply chains nowadays. In this paper, we propose two data-driven approaches that …
from supply chains nowadays. In this paper, we propose two data-driven approaches that …
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture
L Liu, X Song, Z Zhou - Reliability Engineering & System Safety, 2022 - Elsevier
Remaining useful life (RUL) estimation has been intensively studied, given its important role
in prognostics and health management (PHM) of industry. Recently, data-driven structures …
in prognostics and health management (PHM) of industry. Recently, data-driven structures …
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors
Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment.
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …
Remaining useful life prediction of bearings by a new reinforced memory GRU network
The remaining useful life (RUL) prediction of bearings has great significance in the
predictive maintenance of mechanical equipment. Owing to the difficulty of collecting …
predictive maintenance of mechanical equipment. Owing to the difficulty of collecting …
Digital twin–driven aero-engine intelligent predictive maintenance
M Xiong, H Wang, Q Fu, Y Xu - The International Journal of Advanced …, 2021 - Springer
Aero-engine is one of the most important components of an aircraft. The development of
maintenance has undergone the transition from “post-event maintenance” and “preventive …
maintenance has undergone the transition from “post-event maintenance” and “preventive …
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
Y Qin, J Yang, J Zhou, H Pu, Y Mao - Advanced Engineering Informatics, 2023 - Elsevier
Remaining useful life (RUL) prediction plays a significant role in the prognostic and health
management (PHM) of rotating machineries. A good health indicator (HI) can ensure the …
management (PHM) of rotating machineries. A good health indicator (HI) can ensure the …
[HTML][HTML] Modeling industrial hydrocyclone operational variables by SHAP-CatBoost-A “conscious lab” approach
Undoubtedly hydrocyclones play a critical role in powder technology, which can
considerably affect the plants' process efficiency. However, hydrocyclones were rarely …
considerably affect the plants' process efficiency. However, hydrocyclones were rarely …