[HTML][HTML] Marine systems and equipment prognostics and health management: a systematic review from health condition monitoring to maintenance strategy

P Zhang, Z Gao, L Cao, F Dong, Y Zou, K Wang… - Machines, 2022 - mdpi.com
Prognostics and health management (PHM) is an essential means to optimize resource
allocation and improve the intelligent operation and maintenance (O&M) efficiency of marine …

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 …

A deep feature learning method for remaining useful life prediction of drilling pumps

J Guo, JL Wan, Y Yang, L Dai, A Tang, B Huang… - Energy, 2023 - Elsevier
Abstract Remaining Useful Life (RUL) prediction of drilling pumps, pivotal components in
fossil energy production, is essential for efficient maintenance and safe operation of such …

Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit

Q Ni, JC Ji, K Feng, Y Zhang, D Lin, J Zheng - Reliability Engineering & …, 2024 - Elsevier
Remaining useful life (RUL) prediction plays a crucial role in bearing health management
which can guarantee the rotating machinery systems' safety and reliability. This paper …

[HTML][HTML] Health indicator for machine condition monitoring built in the latent space of a deep autoencoder

A González-Muñiz, I Diaz, AA Cuadrado… - Reliability Engineering & …, 2022 - Elsevier
The construction of effective health indicators plays a key role in the engineering systems
field: they reflect the degradation degree of the system under study, thus providing vital …

[HTML][HTML] Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data

M Moradi, A Broer, J Chiachío, R Benedictus… - … Applications of Artificial …, 2023 - Elsevier
A health indicator (HI) is a valuable index demonstrating the health level of an engineering
system or structure, which is a direct intermediate connection between raw signals collected …

A sparse domain adaption network for remaining useful life prediction of rolling bearings under different working conditions

M Miao, J Yu, Z Zhao - Reliability Engineering & System Safety, 2022 - Elsevier
As a key component in the machinery, the health of bearings directly affects working
performance of machinery. Recently, many data-driven methods have been proposed to …

Dual-thread gated recurrent unit for gear remaining useful life prediction

J Zhou, Y Qin, J Luo, S Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction can provide a foundation for the operation and
maintenance of industrial equipment. In order to improve the predictive ability for the …

Automatic multi-differential deep learning and its application to machine remaining useful life prediction

S Xiang, Y Qin, F Liu, K Gryllias - Reliability Engineering & System Safety, 2022 - Elsevier
Different levels of characteristic information cannot be mined using various feature extraction
modes in most neural networks, and thus, a novel method called the automatic multi …

Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life

K Kobayashi, SB Alam - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Artificial intelligence (AI) and Machine learning (ML) are increasingly used for digital twin
development in energy and engineering systems, but these models must be fair, unbiased …