Results 11 to 20 of about 88,886 (260)
Predictive maintenance programs for aircraft engines based on remaining useful life prediction [PDF]
Scientific ReportsAbstract The remaining useful life (RUL) and utilization strategy of an aero-engine are related to the flight safety of an aircraft, which directly affects the flight itself and the safety of the occupants. Aiming at the complexity of aero-engine condition monitoring data, an aero-engine predictive maintenance planning framework based ...
Xue, Fei +4 more
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Remaining Useful Life Prediction Based on Deep Learning: A Survey [PDF]
SensorsRemaining useful life (RUL) is a metric of health state for essential equipment. It plays a significant role in health management. However, RUL is often random and unknown.
Fuhui Wu +3 more
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Multi-Condition Remaining Useful Life Prediction Based on Mixture of Encoders [PDF]
EntropyAccurate Remaining Useful Life (RUL) prediction is vital for effective prognostics in and the health management of industrial equipment, particularly under varying operational conditions.
Yang Liu, Bihe Xu, Yangli-ao Geng
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Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM [PDF]
SensorsPredicting the Remaining Useful Life (RUL) is vital for ensuring the reliability and safety of equipment and components. This study introduces a novel method for predicting RUL that utilizes the Convolutional Block Attention Module (CBAM) to address the ...
Bo Sun +4 more
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Model-based prediction of the remaining useful life of the machines [PDF]
IFAC-PapersOnLine, 2016 Abstract Accurate prediction of the remaining useful life (RUL) of machines is becoming mandatory in exploiting the asset in an efficient and secure way by avoiding the unplanned downtimes. In this paper we present an approach to the RUL prediction developed for a shot blasting machine by analyzing the recordings from inexpensive vibrational sensors.
Pavle Boskoski +3 more
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Remaining Useful Life Prediction Under Imperfect Prior Degradation Information
IEEE Access, 2020 The remaining useful life (RUL) prediction is the core of equipment maintenance and decision-making. Accurate RUL prediction can make effective maintenance before the failure occurs to reduce the probability of equipment failure.
Wan Changhao +4 more
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Automated Machine Learning for Remaining Useful Life Predictions
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023 Being able to predict the remaining useful life (RUL) of an engineering system is an important task in prognostics and health management. Recently, data-driven approaches to RUL predictions are becoming prevalent over model-based approaches since no underlying physical knowledge of the engineering system is required.
Marc-André Zöller +4 more
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Cross-Domain Remaining Useful Life Prediction Based on Adversarial Training
Machines, 2022 Remaining useful life prediction can assess the time to failure of degradation systems. Currently, numerous neural network-based prediction methods have been proposed by researchers.
Yuhang Duan +3 more
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Prediction of Tool Remaining Useful Life Based on NHPP-WPHM
Mathematics, 2023 A tool remaining useful life prediction method based on a non-homogeneous Poisson process and Weibull proportional hazard model (WPHM) is proposed, taking into account the grinding repair of machine tools during operation.
Yingzhi Zhang +4 more
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Remaining useful life prediction for equipment based on RF-BiLSTM
AIP Advances, 2022 The prediction technology of remaining useful life has received a lot attention to ensure the reliability and stability of complex mechanical equipment. Due to the large-scale, non-linear, and high-dimensional characteristics of monitoring data, machine ...
Zhiqiang Wu +8 more
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