Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A review on lifetime prediction of proton exchange membrane fuel cells system
The proton exchange membrane fuel cells (PEMFC) system is a promising eco-friendly
power converter device in a wide range of applications, especially in the transportation area …
power converter device in a wide range of applications, especially in the transportation area …
Machine learning for reliability engineering and safety applications: Review of current status and future opportunities
Abstract Machine learning (ML) pervades an increasing number of academic disciplines and
industries. Its impact is profound, and several fields have been fundamentally altered by it …
industries. Its impact is profound, and several fields have been fundamentally altered by it …
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture
L Liu, X Song, Z Zhou - Reliability Engineering & System Safety, 2022 - Elsevier
Remaining useful life (RUL) estimation has been intensively studied, given its important role
in prognostics and health management (PHM) of industry. Recently, data-driven structures …
in prognostics and health management (PHM) of industry. Recently, data-driven structures …
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
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 …
which aims to predict the remaining useful life (RUL) of machinery based on condition …
Remaining useful life estimation in prognostics using deep convolution neural networks
Traditionally, system prognostics and health management (PHM) depends on sufficient prior
knowledge of critical components degradation process in order to predict the remaining …
knowledge of critical components degradation process in order to predict the remaining …
Deep learning for prognostics and health management: State of the art, challenges, and opportunities
B Rezaeianjouybari, Y Shang - Measurement, 2020 - Elsevier
Improving the reliability of engineered systems is a crucial problem in many applications in
various engineering fields, such as aerospace, nuclear energy, and water declination …
various engineering fields, such as aerospace, nuclear energy, and water declination …
Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction
Accurate evaluation of machine degradation during long-time operation is of great
importance. With the rapid development of modern industries, physical model is becoming …
importance. With the rapid development of modern industries, physical model is becoming …
A novel deep learning method based on attention mechanism for bearing remaining useful life prediction
Rolling bearing is a key component in rotation machine, whose remaining useful life (RUL)
prediction is an essential issue of constructing condition-based maintenance (CBM) system …
prediction is an essential issue of constructing condition-based maintenance (CBM) system …
A review on prognostics and health management (PHM) methods of lithium-ion batteries
Batteries are prevalent energy providers for modern systems. They can also be regarded as
storage units for renewable and sustainable energy. Failures of batteries can bring huge …
storage units for renewable and sustainable energy. Failures of batteries can bring huge …
Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
Degradation-based modeling methods have been recognized as an essential and effective
approach for lifetime and remaining useful life (RUL) estimations for various health …
approach for lifetime and remaining useful life (RUL) estimations for various health …