Zobrazeno 1 - 10
of 418
pro vyhledávání: '"Mother wavelet"'
Publikováno v:
IEEE Access, Vol 12, Pp 162238-162250 (2024)
Identifying the fault type and faulted phase prior to protection coordination and restoration of the remaining healthy part of the utility power grid in the presence of railway traction load is an important process to ensure power supply system relia
Externí odkaz:
https://doaj.org/article/102742dc18644fe3ae67fce3d159ceba
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
Publikováno v:
International Journal of Advances in Signal and Image Sciences, Vol 9, Iss 2, Pp 11-28 (2023)
EEG signal analysis is difficult because there are so many unwanted impulses from non-cerebral sources. Presently, methods for eliminating noise through selective frequency filtering are afflicted with a notable deprivation of EEG information. Theref
Externí odkaz:
https://doaj.org/article/696d813a8e7e4861a424062fe66ca4e6
Publikováno v:
IEEE Access, Vol 11, Pp 667-688 (2023)
The study of signals, processes, and systems has motivated the development of different representations that can be used to analyze and understand them. Classical ways of studying the behavior of signals are the time domain and frequency domain repre
Externí odkaz:
https://doaj.org/article/5ba65606048e44f684679f9eb67dc686
Autor:
Heba Nematallah, Sreeraman Rajan
Publikováno v:
Sensors, Vol 24, Iss 7, p 2119 (2024)
Recent advancements in the Internet of Things (IoT) wearable devices such as wearable inertial sensors have increased the demand for precise human activity recognition (HAR) with minimal computational resources. The wavelet transform, which offers ex
Externí odkaz:
https://doaj.org/article/e053f37d711f46b19380d26d28774d91
Publikováno v:
Machines, Vol 12, Iss 3, p 207 (2024)
New trends in maintenance techniques are oriented to digitization and prognosis. The new electronic devices based on IoT (Internet of Things) technology among others that support the industry 4.0 paradigm let enhance the traditional condition monitor
Externí odkaz:
https://doaj.org/article/8de447a831cf403aa47e156378d10790
Autor:
Kirill V. Zaichenko, Boris S. Gurevich, Sergey A. Rogov, Anna A. Kordyukova, Mikhail S. Kuzmin
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 22, Iss 5, Pp 839-845 (2022)
The application of modern and perspective bioradiophotonics methods on the basis of optical and acousto-optic devices for the processing of bioelectric signals (BES) have been considered. The basic application difficulties of these methods are connec
Externí odkaz:
https://doaj.org/article/36e78317326f42788e0d6a40baa28fa7
Publikováno v:
Machines, Vol 11, Iss 12, p 1080 (2023)
This paper proposes a new method for bearing fault diagnosis using wavelet packet transform (WPT)-based signal representation and informative factor linear discriminant analysis (IF-LDA). Time–frequency domain approaches for analyzing bearing vibra
Externí odkaz:
https://doaj.org/article/17178a88b5644d96bf01b17f24ddd0d7
Akademický článek
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Autor:
Damian Gogolewski, Włodzimierz Makieła
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 1, Pp 305-312 (2021)
This paper discusses one of the most important problems related to analysis of surface texture using wavelet analysis - the problem of selection of mother wavelet and decomposition level. The literature related to wavelet transform does not explicitl
Externí odkaz:
https://doaj.org/article/5a9a066e8cf44254b2ed5a4f99506096