Zobrazeno 1 - 10
of 2 859
pro vyhledávání: '"Discrete wavelet transform (DWT)"'
Autor:
Kashvi Ankitbhai Sheth, Charvi Upreti, Manas Ranjan Prusty, Sandeep Kumar Satapathy, Shruti Mishra, Sung-Bae Cho
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Myocardial infarction (MI) is a life-threatening medical condition that necessitates both timely and precise diagnosis. The enhancement of automated method to detect MI diseases from Normal patients can play a crucial role in healthcare. Thi
Externí odkaz:
https://doaj.org/article/2593a3f47bd64618a494a02ed6871517
Autor:
Muhammad Zain Yousaf, Arvind R. Singh, Saqib Khalid, Mohit Bajaj, B. Hemanth Kumar, Ievgen Zaitsev
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract As Europe integrates more renewable energy resources, notably offshore wind power, into its super meshed grid, the demand for reliable long-distance High Voltage Direct Current (HVDC) transmission systems has surged. This paper addresses the
Externí odkaz:
https://doaj.org/article/356d6e865d9a4a5fb31e91042219d6b9
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110144- (2024)
The protection dead-zone and threshold setting difficulties of the residual current devices (RCDs) in low-voltage distribution networks may lead to the misidentification of electric shock fault, resulting in severe life-threatening accidents. This pa
Externí odkaz:
https://doaj.org/article/80196d61cfd248199aff30fff2da95be
Publikováno v:
IEEE Access, Vol 12, Pp 124790-124800 (2024)
Wind power prediction is important in successfully integrating renewable energy sources into the grid. This study is focused on a sub-domain of wind power prediction and compares Bidirectional Long Short Term Memory (BiLSTM) and Bidirectional Gated R
Externí odkaz:
https://doaj.org/article/49278a1e1a1e458dba041a885b1ef1dc
Autor:
J. A. R. R. Jayasinghe, J. H. E. Malindi, R. M. A. M. Rajapaksha, V. Logeeshan, Chathura Wanigasekara
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 11, Pp 303-313 (2024)
The widespread integration of renewable energy sources to the main electrical grids has led to the increased adoption of AC microgrids. However, the protection of AC microgrids is a challenging task due to inverter interfaces, bidirectional power flo
Externí odkaz:
https://doaj.org/article/960ee4011aad4d7e941d3ddc9f6cd5a1
Autor:
Vippala Shanmukha Reddy, Punekar Gururaj Sudhindra, Chemmangat Krishnan, Tangella Bhavanishanker
Publikováno v:
Serbian Journal of Electrical Engineering, Vol 21, Iss 2, Pp 163-185 (2024)
Signal processing helps monitor the condition of power equipment. Partial discharge (PD) signals used in condition-based maintenance give crucial information in the diagnosis of degradation of insulation. The acoustic emission technique (AET) is o
Externí odkaz:
https://doaj.org/article/40742925983549548ca6a1cd8668b1f5
Autor:
Pathomthat Chiradeja, Santipont Ananwattanaporn, Praikanok Lertwanitrot, Atthapol Ngaopitakkul, Anantawat Kunakorn
Publikováno v:
IEEE Access, Vol 12, Pp 65287-65297 (2024)
This study proposes a protection relay using a microcontroller to detect and classify faults in transmission lines based on the Wavelet transform. An experimental model was constructed from an actual 115 kV transmission system prototype. The current
Externí odkaz:
https://doaj.org/article/34aacbdcbdc6413781623e7204b2233d
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100582- (2024)
Any faults in power electronic switches must be detected and located promptly to certify the unchanging operation and reliability of multilevel inverter (MLI) systems. Machine learning (ML) techniques are increasingly being utilized to diagnose fault
Externí odkaz:
https://doaj.org/article/cb3e079671c94909ad3f5a63c8e2984c
Autor:
V. Nagasumathy, B. Paulchamy
Publikováno v:
Automatika, Vol 64, Iss 4, Pp 1268-1279 (2023)
Gliomas constitute the prevalently seen brain tumours in humans. The real-time utilization of Computer Aided Diagnosis system depends on brain Magnetic Resonance Imaging (MRIs) has the ability of helping radiologists and professionals to identify the
Externí odkaz:
https://doaj.org/article/fbfc95607b37441ab7b84e474aa432cc
Publikováno v:
Automatika, Vol 64, Iss 4, Pp 827-836 (2023)
Electroencephalography (EEG) signals contain important information about the inner functioning of the brain. Effective extraction of this information will help in the detection of brain-related health conditions and emotions of a person or it can als
Externí odkaz:
https://doaj.org/article/72a903af89e749e38c877eab351e0fa2