Zobrazeno 1 - 10
of 336
pro vyhledávání: '"time-domain features"'
Ai-enhanced fault diagnosis in rolling element bearings: A comprehensive vibration analysis approach
Publikováno v:
FME Transactions, Vol 52, Iss 3, Pp 450-460 (2024)
This research presents a comprehensive approach for bearing fault diagnosis using artificial intelligence (AI), particularly through the application of artificial neural networks (ANNs). By integrating these networks into vibration analysis, the appr
Externí odkaz:
https://doaj.org/article/dd36169aae1a41ecb6ead8540768989b
Autor:
G. Geetha, P. Geethanjali
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 562-574 (2024)
In machine learning, the extraction of features is necessary for intelligent motor fault diagnosis. In industrial applications, it is necessary to identify the optimal number of features to differentiate various types of fault characteristics with le
Externí odkaz:
https://doaj.org/article/eaa8a6a6be16416c90cca2e5737f55b6
Autor:
Usman Rauf, Sanay Muhammad Umar Saeed
Publikováno v:
IEEE Access, Vol 12, Pp 51650-51664 (2024)
Perceived stress is the predominant mental health concern in this age of development and progress. Timely and precise recognition of perceived stress is vital for appropriate and effective treatment. Previously, many studies intended to classify perc
Externí odkaz:
https://doaj.org/article/e4be5f9961104246801759fbfa17c8c1
Autor:
Swarubini P. J., Kumar P. Sriram, Kumar Govarthan Praveen, Purkayastha Meghraj, Deb Parbani, Sairam Shivabhijit, Asaithambi Mythili, Agastinose Ronickom Jac Fredo
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 694-697 (2023)
Emotions are mental states that result from neurophysiological changes associated with thoughts, feelings, and behavioral responses. Emotions lead to modifications in heart rate variability, which can be identified through electrocardiogram (ECG) sig
Externí odkaz:
https://doaj.org/article/9708c9a527824731837fce3ae1f3d3cc
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 9, Pp n/a-n/a (2023)
Abstract The detection of surface electromyography (sEMG) signals on the skin has attracted increasing attention because of its ability to monitor muscle conditions in a noninvasive manner and thus possesses great application potential to assess athl
Externí odkaz:
https://doaj.org/article/f6a5d4b2b42c4e0ba2e2a6576c49d1a7
Autor:
Suparerk Janjarasjitt
Publikováno v:
ETRI Journal, Vol 44, Iss 5, Pp 826-836 (2022)
Signal decomposition is a computational technique that dissects a signal into its constituent components, providing supplementary information. In this study, the capability of two common signal decomposition techniques, including wavelet-based and em
Externí odkaz:
https://doaj.org/article/98fe666199114867a3adf70759396a60
Akademický článek
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Akademický článek
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Akademický článek
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Publikováno v:
IEEE Access, Vol 9, Pp 1904-1917 (2021)
The safety and reliability of the mechanical system in the industrial process determines the quality of products. Whether the fault can be identified and classified in time is the key to ensure the safe operation of the system and arrange the appropr
Externí odkaz:
https://doaj.org/article/93e969bae2734f3ca5d815927be34c85