Articles with "degradation modeling" as a keyword



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Degradation modeling of degradable copolymers for biomimetic scaffolds

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Published in 2019 at "Friction"

DOI: 10.1007/s40544-019-0291-5

Abstract: Biomimetic scaffolds provide a suitable growth environment for tissue engineering and demonstrate good potential for application in biomedical fields. Different-sized copolymerized biomimetic scaffolds degrade differently, and the degradation rate is affected by the copolymerization ratio.… read more here.

Keywords: chain; biomimetic scaffolds; chain break; degradation ... See more keywords
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Reliability prediction of rotary encoder based on multivariate accelerated degradation modeling

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Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2019.107395

Abstract: Abstract The rotary encoder is an important sensor for measuring rotational motion. A step–stress accelerated degradation test (SSADT) is conducted with respect to accuracy to evaluate the reliability rapidly. The existing errors in output signals… read more here.

Keywords: degradation; encoder; degradation modeling; accelerated degradation ... See more keywords
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Machinery Health Prognostics With Multimodel Fusion Degradation Modeling

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Published in 2023 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2022.3231273

Abstract: Degradation modeling aims to formulate the health state degradation process of machinery. Commonly used degradation models pay more attention to describing the global increasing or decreasing trend without considering the local fluctuation in the degradation… read more here.

Keywords: degradation modeling; health; machinery; degradation ... See more keywords
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Generic Framework for Integration of First Prediction Time Detection With Machine Degradation Modelling from Frequency Domain

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Published in 2021 at "IEEE Transactions on Reliability"

DOI: 10.1109/tr.2021.3087698

Abstract: Fault detection and degradation modeling are two main concerns in condition-based maintenance (CBM). The initial machine degradation is called first predicting time (FPT) or incipient failure time. FPT is typically assumed prior information. FPT detection… read more here.

Keywords: machine; degradation; detection; degradation modeling ... See more keywords
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Image Degradation Modeling for Real-World Super Resolution via Conditional Normalizing Flow

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Published in 2021 at "Applied Sciences"

DOI: 10.3390/app11114735

Abstract: In recent years, deep-learning-based super-resolution (SR) methods have obtained impressive performance gains on synthetic clean datasets, but they fail to perform well in real-world scenarios due to insufficient real-world training data. To tackle this issue,… read more here.

Keywords: world; degradation modeling; real world; image degradation ... See more keywords