A systematic overview of health indicator construction methods for rotating machinery
Rotating machinery plays a vital role in the industrial sector, and ensuring its health status is
crucial for operational efficiency and safety. The construction of accurate health indicators …
crucial for operational efficiency and safety. The construction of accurate health indicators …
Prognostics for the sustainability of industrial cyber-physical systems: From an artificial intelligence perspective
As industrial cyber-physical systems (ICPS) play an increasingly pivotal role in the new
industrial paradigm, their sustainability has become the current research focus. Remaining …
industrial paradigm, their sustainability has become the current research focus. Remaining …
Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction
The full-life data of machine is complex and abundant, requiring specialized and deep
predictive models for accurate forecasts. However, achieving high prediction accuracy often …
predictive models for accurate forecasts. However, achieving high prediction accuracy often …
Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery
C Velasco-Gallego, I Lazakis - Applied Ocean Research, 2023 - Elsevier
Although the maritime industry has the potential to lead smart maintenance methodologies,
current maintenance routines within the sector focus on either reactive or preventive …
current maintenance routines within the sector focus on either reactive or preventive …
Continuous remaining useful life prediction by self-guided attention convolutional neural network and memory consciousness adjustment
To accurately predict the remaining useful life (RUL) of rotating machinery while
continuously providing the task data, a novel continuous RUL prediction methodology was …
continuously providing the task data, a novel continuous RUL prediction methodology was …
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift
Data-driven methods based on deep learning have achieved satisfactory results in the field
of health prognosis. However, the current network modeling still stays in the real number …
of health prognosis. However, the current network modeling still stays in the real number …
A novel gear RUL prediction method by diffusion model generation health index and attention guided multi-hierarchy LSTM
X Chen - Scientific Reports, 2024 - nature.com
Gears, as indispensable components of machinery, demand accurate prediction of their
Remaining Useful Life (RUL). To enhance the utilization of ordered information within time …
Remaining Useful Life (RUL). To enhance the utilization of ordered information within time …
The LPST-Net: a new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions
Accurate and science-based prediction of bearing performance degradation has been a
principal concern and a critical challenge issue in the sector of Prognostics and Health …
principal concern and a critical challenge issue in the sector of Prognostics and Health …
Remaining useful life prediction of machinery based on performance evaluation and online cross-domain health indicator under unknown working conditions
X Pei, L Gao, X Li - Journal of Manufacturing Systems, 2024 - Elsevier
Accurately predicting remaining useful life (RUL) can help to make maintenance plans in
advance. Recently, machinery labelled end-to-end RUL prediction based on data-driven …
advance. Recently, machinery labelled end-to-end RUL prediction based on data-driven …
Micro transfer learning mechanism for cross-domain equipment RUL prediction
Transfer learning generally addresses to reduce the distribution distance between source-
domain and target-domain. However, it is unreasonable to use a distribution to represent the …
domain and target-domain. However, it is unreasonable to use a distribution to represent the …