Machinery health prognostics: A systematic review from data acquisition to RUL prediction

Y Lei, N Li, L Guo, N Li, T Yan, J Lin - Mechanical systems and signal …, 2018 - Elsevier
Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …

A summary of fault modelling and predictive health monitoring of rolling element bearings

I El-Thalji, E Jantunen - Mechanical systems and signal processing, 2015 - Elsevier
The rolling element bearing is one of the most critical components that determine the
machinery health and its remaining lifetime in modern production machinery. Robust …

Estimation of bearing remaining useful life based on multiscale convolutional neural network

J Zhu, N Chen, W Peng - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Bearing remaining useful life (RUL) prediction plays a crucial role in guaranteeing safe
operation of machinery and reducing maintenance loss. In this paper, we present a new …

Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit

Y Mo, Q Wu, X Li, B Huang - Journal of Intelligent Manufacturing, 2021 - Springer
Abstract Remaining Useful Life (RUL) estimation is a fundamental task in the prognostic and
health management (PHM) of industrial equipment and systems. To this end, we propose a …

故障预测与健康管理技术综述

彭宇, 刘大同, 彭喜元 - 电子测量与仪器学报, 2010 - jemi.cnjournals.com
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Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

W Yu, IIY Kim, C Mechefske - Mechanical Systems and Signal Processing, 2019 - Elsevier
Abstract System remaining useful life (RUL) estimation is one of the major prognostic
activities in industrial applications. In this paper, we propose a sensor-based data-driven …

Data-model combined driven digital twin of life-cycle rolling bearing

Y Qin, X Wu, J Luo - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
The digital twin of a life-cycle rolling bearing is significant for its degradation performance
analysis and health management. This article proposes a digital twin model of life-cycle …

Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression

J Chen, D Li, R Huang, Z Chen, W Li - Reliability Engineering & System …, 2023 - Elsevier
Remaining useful life (RUL) prediction based on multimodal sensing data is indispensable
for predictive maintenance of aero-engine under cross-working conditions. Although data …

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 …

Cloud-enabled prognosis for manufacturing

R Gao, L Wang, R Teti, D Dornfeld, S Kumara, M Mori… - CIRP annals, 2015 - Elsevier
Advanced manufacturing depends on the timely acquisition, distribution, and utilization of
information from machines and processes across spatial boundaries. These activities can …