Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sara Seninete"'
Publikováno v:
Metrology and Measurement Systems, Vol vol. 29, Iss No 2, Pp 333-346 (2022)
Vibration analysis for conditional preventive maintenance is an essential tool for the industry. The vibration signals sensored, collected and analyzed can provide information about the state of an induction motor. Appropriate processing of these vib
Externí odkaz:
https://doaj.org/article/1902d10027574f53ba43e887206bc64f
Publikováno v:
IEEE Latin America Transactions. 20:901-911
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28be3240b6a0b72030576b306ea5484c
https://doi.org/10.1109/tla.2022.9757372
https://doi.org/10.1109/tla.2022.9757372
Autor:
Mansour Abed, Azeddine Bendiabdellah, Adel Belouchrani, Malika Mimi, Abdelaziz Ould Ali, Bilal Djamal Eddine Cherif, Sara Seninete
Publikováno v:
Periodica Polytechnica Electrical Engineering and Computer Science. 64:352-365
Quadratic Time-Frequency Distributions (TFDs) become a standard tool in many fields producing nonstationary signatures. However, these representations suffer from two drawbacks: First, bad time-frequency localization of the signal's autoterms due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16d86a388d9274ad1680e956537e07f0
https://doi.org/10.3311/ppee.15469
https://doi.org/10.3311/ppee.15469
Publikováno v:
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities ISBN: 9783030920371
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::253760736822a7eb9dd30f3241d83f28
https://doi.org/10.1007/978-3-030-92038-8_67
https://doi.org/10.1007/978-3-030-92038-8_67
Publikováno v:
2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE).
Vibration signals are widely used in the detection and monitoring of broken rotor bar (BRB) faults. These signals are generally noisy by other sources, which can therefore lead to a loss of information on BRB fault. This paper proposes a denoising me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2188d0a1b8138c415c50dfc132a95b0a
https://doi.org/10.1109/icecce52056.2021.9514085
https://doi.org/10.1109/icecce52056.2021.9514085
Publikováno v:
International Transactions on Electrical Energy Systems. 30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2412ba08c42bb2e92762c3a5a938ae72
https://doi.org/10.1002/2050-7038.12540
https://doi.org/10.1002/2050-7038.12540
Publikováno v:
2019 6th International Conference on Image and Signal Processing and their Applications (ISPA).
Although the induction motor (IM) is known for its robustness and low cost of construction, it can happen that the it presents electrical, magnetic or mechanical faults. In this paper, a Hilbert-Huang Transform (HHT) spectral envelope of the stator c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0833660d95f9e80ec23e23afc3d6056a
https://doi.org/10.1109/ispa48434.2019.8966812
https://doi.org/10.1109/ispa48434.2019.8966812
Publikováno v:
2019 6th International Conference on Image and Signal Processing and their Applications (ISPA).
Nowadays, fault detection in induction motors has gained importance. Motor health monitoring is performed to diagnose their operating condition using vibration signals. These signals are processed using different signal processing methods to extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d716b6dc0f30d60ec91e48efe6246f0c
https://doi.org/10.1109/ispa48434.2019.8966801
https://doi.org/10.1109/ispa48434.2019.8966801