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 …
most complex task in predictive maintenance, at the same time the most beneficial one. In …
Remote sensing-based mangrove blue carbon assessment in the Asia-Pacific: A systematic review
Accurate measuring, mapping, and monitoring of mangrove forests support the sustainable
management of mangrove blue carbon in the Asia-Pacific. Remote sensing coupled with …
management of mangrove blue carbon in the Asia-Pacific. Remote sensing coupled with …
Artificial intelligence in prognostics and health management of engineering systems
S Ochella, M Shafiee, F Dinmohammadi - Engineering Applications of …, 2022 - Elsevier
Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …
management of engineering systems and structures, where sensor hardware and decision …
A directed acyclic graph network combined with CNN and LSTM for remaining useful life prediction
Accurate and timely prediction of remaining useful life (RUL) of a machine enables the
machine to have an appropriate operation and maintenance decision. Data-driven RUL …
machine to have an appropriate operation and maintenance decision. Data-driven RUL …
Ensemble machine learning models for the detection of energy theft
SK Gunturi, D Sarkar - Electric Power Systems Research, 2021 - Elsevier
Advanced metering infrastructure allows the two-way sharing of information between smart
meters and utilities. However, it makes smart grids more vulnerable to cyber-security threats …
meters and utilities. However, it makes smart grids more vulnerable to cyber-security threats …
Multitask learning-based self-attention encoding atrous convolutional neural network for remaining useful life prediction
H Wang, T Lin, L Cui, B Ma, Z Dong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Any failure of the turbofan engine, as one of the key components of space shuttle, can lead
to serious accidents. Therefore, it is necessary to predict the remaining useful life (RUL) to …
to serious accidents. Therefore, it is necessary to predict the remaining useful life (RUL) to …
A novel prediction network for remaining useful life of rotating machinery
T Lin, H Wang, X Guo, P Wang, L Song - The International Journal of …, 2023 - Springer
With the increasing complexity of CNC machine tools and other rotating machinery, it
becomes more and more important to improve the reliability of such machines. It is …
becomes more and more important to improve the reliability of such machines. It is …
The use of radar and optical satellite imagery combined with advanced machine learning and metaheuristic optimization techniques to detect and quantify above …
Seagrass provides numerous valuable ecosystem services across a wide range of climatic
regions. However, in terms of area and habitat, this resource is in decline globally and there …
regions. However, in terms of area and habitat, this resource is in decline globally and there …
A novel cap-LSTM model for remaining useful life prediction
C Zhao, X Huang, Y Li, S Li - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
In recent years, the Remaining Useful Life (RUL) prediction has become a hot spot in
Prognostics and Health Management (PHM) research. High-accuracy RUL prediction can …
Prognostics and Health Management (PHM) research. High-accuracy RUL prediction can …
A change point detection integrated remaining useful life estimation model under variable operating conditions
By informing the onset of the degradation process, health status evaluation serves as a
significant preliminary step for reliable remaining useful life (RUL) estimation of complex …
significant preliminary step for reliable remaining useful life (RUL) estimation of complex …