Results 11 to 20 of about 9,324 (243)
A Fault-Signal-Based Generalizing Remaining Useful Life Prognostics Method for Wheel Hub Bearings
The goal of this work is to improve the generalization of remaining useful life (RUL) prognostics for wheel hub bearings. The traditional life prognostics methods assume that the data used in RUL prognostics is composed of one specific fatigue damage ...
Shixi Tang +5 more
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Predictive Modelling in Clinical Bioinformatics: Key Concepts for Startups
Clinical bioinformatics is a newly emerging field that applies bioinformatics techniques for facilitating the identification of diseases, discovery of biomarkers, and therapy decision.
Ricardo J. Pais
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A Generic Software Architecture for Prognostics (GSAP)
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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A novel concept and assessment method for trustworthiness of prognostics
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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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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Prognosis and prognostic research: validating a prognostic model
Prognostic models are of little clinical value unless they are shown to work in other samples.
Altman, D +3 more
openaire +4 more sources
A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing
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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A data enlargement strategy for fault classification through a convolutional auto-encoder
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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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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Framework for a Hybrid Prognostics
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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