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A Deep Adversarial Approach Based on Multi-Sensor Fusion for Semi-Supervised Remaining Useful Life Prognostics
(MDPI, 2020)
Multi-sensor systems are proliferating in the asset management industry. Industry 4.0, combined with the Internet of Things (IoT), has ushered in the requirements of prognostics and health management systems to predict the ...
Particle-Filtering-Based State-of-Health Estimation and End-of-Life Prognosis for Lithium-Ion Batteries at Operation Temperature
(Annual Conference of the PHM Society 2016Annual Conference of the PHM Society 2016, 2016-08-15)
We present the implementation of a particle-filtering-based framework that estimates the State-of-Health (SOH) and predicts the End-of-Life (EOL) of Lithium-Ion batteries, efficiently incorporating variations of ambient ...
Condition-based spares ordering for critical components
(ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2011)
It is widely accepted that one of the potential benefits of condition-based maintenance (CBM) is the expected decrease in inventory as the procurement of parts can be triggered by the identification of a potential failure. ...
A deep adversarial approach based on multisensor fusion for remaining useful life prognostics
(Research Publishing Serviceseditorial@rpsonline.com.sg, 2020)
A novel deep capsule neural network for remaining useful life estimation
(SAGE Publications Ltdinfo@sagepub.co.uk, 2020)
The use of trend lines channels and remaining useful life prediction
(2017-04-25)
One of the most important aspects in a working machine is the remaining useful life (RUL) of its components. Prognostics in this case depends on establishing the cause-effect entries in the process as well as how it behaves ...
LSTM Neural Networks for Remaining Useful Life Estimation of Turbofan Engines
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12-04)
Condition-based Maintenance is a maintenance strategy that monitors the actual condition of
a system to make predictive decisions whit respect to it. This type of maintenance includes detection, diagnosis, and prediction ...
Relationship of different intensities of physical activity and quality of life in postmenopausal women
(2020-05-06)
Background: It is known that the elderly population remains most of the time in light activity. Physical activity plays a key role in the primary prevention of chronic diseases to mitigate various deleterious effects of ...
A modular fault diagnosis and prognosis method for hydro-control valve system based on redundancy in multisensor data information
(Institute of Electrical and Electronics Engineers Inc., 2019)
© 2018 IEEE. Fault diagnosis and prognosis (FDP) are important capabilities that can enable autonomous detection and prediction of failures' progress in complex engineering systems. This paper introduces an innovative ...
The derivative as a probabilistic synthesis of past and future data and remaining useful life prediction
(2017-04-25)
The concept of remaining useful life (RUL) is crucial when dealing with mechanical systems. RUL is taken into account in a system through a series of prognostics and the study of stability in a related data series. This ...