A review of remaining useful life prediction approaches for mechanical equipment

Y Zhang, L Fang, Z Qi, H Deng - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The precise maintenance and scientific management of large and complex mechanical
equipment are of great significance for ensuring the safe operation of equipment and …

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 …

Prediction interval estimation of aeroengine remaining useful life based on bidirectional long short-term memory network

C Chen, N Lu, B Jiang, Y Xing… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Reliable and accurate aeroengine remaining useful life (RUL) prediction plays a key role in
the aeroengine prognostics and health management (PHM) system. However, due to the …

Similarity-based prediction method for machinery remaining useful life: A review

B Xue, H Xu, X Huang, K Zhu, Z Xu, H Pei - The International Journal of …, 2022 - Springer
Determining the remaining useful life (RUL) of increasingly complex machines provides the
decision basis for the predictive maintenance process, which effectively ensures equipment …

Cutting tool prognostics enabled by hybrid CNN-LSTM with transfer learning

M Marei, W Li - The International Journal of Advanced Manufacturing …, 2022 - Springer
An effective strategy to predict the remaining useful life (RUL) of a cutting tool could
maximise tool utilisation, optimise machining cost, and improve machining quality. In this …

Parallel state fusion LSTM-based early-cycle stage lithium-ion battery RUL prediction under Lebesgue sampling framework

G Lyu, H Zhang, Q Miao - Reliability Engineering & System Safety, 2023 - Elsevier
Remaining useful life (RUL) prediction for lithium-ion batteries in early-cycle stage is of great
significance for improving battery performance and reducing losses caused by accidental …

Multiscale similarity ensemble framework for remaining useful life prediction

T Xia, J Shu, Y Xu, Y Zheng, D Wang - Measurement, 2022 - Elsevier
Accurate prediction of remaining useful life (RUL) is crucially important to perform
prognostics and health management. A new similarity-based autoencoder multiscale …

Health condition monitoring of machines based on long short-term memory convolutional autoencoder

Z Ye, J Yu - Applied Soft Computing, 2021 - Elsevier
Abstract Machine health assessment is crucial to prognostics and health management
(PHM), which can increase reliability of machines while reducing operation cost. However …

Remaining useful life prediction of aircraft turbofan engine based on random forest feature selection and multi-layer perceptron

H Wang, D Li, D Li, C Liu, X Yang, G Zhu - Applied Sciences, 2023 - mdpi.com
The accurate prediction of the remaining useful life (RUL) of aircraft engines is crucial for
improving engine safety and reducing maintenance costs. To tackle the complex issues of …

Similarity-based particle filter for remaining useful life prediction with enhanced performance

H Cai, J Feng, W Li, YM Hsu, J Lee - Applied Soft Computing, 2020 - Elsevier
This paper proposes a similarity-based Particle Filter (PF) method for Remaining Useful Life
(RUL) prediction with improved performance. In the proposed methodology, Maximum Mean …