Results 21 to 30 of about 9,692 (263)
A Generic Software Architecture for Prognostics (GSAP)
International Journal of Prognostics and Health Management, 2017 Prognostics is a systems engineering discipline focused on predicting end-of-life of components and systems. As a relatively new and emerging technology, there are few fielded implementations of prognostics, due in part to practitioners perceiving a ...
Christopher Teubert +4 more
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Prognostication in palliative radiotherapy—ProPaRT: Accuracy of prognostic scores
Frontiers in Oncology, 2022 BackgroundPrognostication can be used within a tailored decision-making process to achieve a more personalized approach to the care of patients with cancer. This prospective observational study evaluated the accuracy of the Palliative Prognostic score (PaP score) to predict survival in patients identified by oncologists as candidates for palliative ...
Maltoni, Marco +10 more
openaire +4 more sources
A novel concept and assessment method for trustworthiness of prognostics
Advances in Mechanical Engineering, 2016 The existence of the unavoidable uncertainties has a great effect on the prognostics accuracy and performance. However, their influences are rarely taken into account in the current prognostics performance evaluation.
Bo Sun +3 more
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Journal of Advances in Information Technology, 2010 IEEE 802.16e fixed WiMAX provides a low cost solution for integrated multimedia access networks with a wide bandwidth making it particularly suitable for telemedicine applications.
Bernard Fong, Guan Yue Hong
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A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing
International Journal of Prognostics and Health Management, 2016 Successful use of prognostics involves the prediction of future system behaviors in an effort to maintain system availability and reduce the cost of maintenance and repairs. Recent work by the National Institute of Standards and Technology indicates that
Patrick T. Hester +3 more
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International Journal of Prognostics and Health Management, 2015 Uncertainty plays an important role in diagnostics, prognostics, and health management of engineering systems. The presence of uncertainty leads to an imprecise understanding of the behavior of such systems; as a result, this may adversely affect the ...
Shankar Sankararaman +2 more
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A data enlargement strategy for fault classification through a convolutional auto-encoder
MATEC Web of Conferences, 2019 The amount of data is of crucial to the accuracy of fault classification through machine learning techniques. In wind energy harvest industry, due to the shortage of faulty data obtained in real practice, together with ever changing operational ...
Hao Cui +4 more
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Framework for a Hybrid Prognostics
Chemical Engineering Transactions, 2013 Fault detection and isolation, or fault diagnostic, of physical systems has been subject of several interesting works. Detecting and isolating faults may be convenient for some applications where the fault does not have severe consequences on humans as ...
K. Medjaher, N. Zerhouni
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Lithium-Ion Battery Prognostics through Reinforcement Learning Based on Entropy Measures
Algorithms, 2022 Lithium-ion is a progressive battery technology that has been used in vastly different electrical systems. Failure of the battery can lead to failure in the entire system where the battery is embedded and cause irreversible damage.
Alireza Namdari +2 more
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Vibration Resonance Spectrometry (VRS) for the Advanced Streaming Detection of Rotor Unbalance
Machines, 2023 Determination of the diagnosis thresholds is crucial for the fault diagnosis of industry assets. Rotor machines under different working conditions are especially challenging because of the dynamic torque and speed.
Matthew T. Gerdes +5 more
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