Zobrazeno 1 - 10
of 997
pro vyhledávání: '"fault feature"'
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol PP, Iss 99, Pp 1-12 (2024)
With the continuous increase in the capacity of renewable energy system integrated into the grid, parts of renewable energy systems located in remote area are required to equip with series compensation device to improve their transfer capacity. Howev
Externí odkaz:
https://doaj.org/article/dee2f9b64783469ca3b7a59540731f33
Publikováno v:
IEEE Access, Vol 12, Pp 149710-149721 (2024)
A bearing fault diagnosis method based on recurrence plots and a fusion neural network is proposed to address the low recognition accuracy of noisy bearing vibration data. Compared to existing methods, this approach leverages the recurrence plot tech
Externí odkaz:
https://doaj.org/article/f54d3e3a75ac42e29c5e4c759d097de0
Publikováno v:
IEEE Access, Vol 12, Pp 87991-88005 (2024)
In actual engineering production, bearings typically operate in harsh environments. The fault features of bearing vibration signals are often submerged by background noise, making it difficult to extract the fault signal features and impacting the ac
Externí odkaz:
https://doaj.org/article/0af140ed3e764c14b1e8e5368f957471
Publikováno v:
Sensors, Vol 24, Iss 14, p 4638 (2024)
In light of the issue that the vibration signal from an axle-box bearing collected during the operation of an electric multiple unit (EMU) is seriously polluted by background noise, which leads to difficulty in identifying fault characteristic freque
Externí odkaz:
https://doaj.org/article/5123d9b50a25488d9dd4c8da1508d80a
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 3, Pp 1014-1028 (2023)
Abstract In view of the influence of aliasing noise on the effectiveness and accuracy of bearing fault diagnosis, a bearing fault diagnosis algorithm based on the spatial decoupling method of modified kernel principal component analysis (MKPCA) and t
Externí odkaz:
https://doaj.org/article/1ddee25663f744ec9a5ac675f8f7ea3b
Autor:
Jing Sun
Publikováno v:
IET Cyber-Physical Systems, Vol 8, Iss 2, Pp 109-118 (2023)
Abstract In order to accurately extract the fault features of arc high impedance grounding of low‐voltage distribution lines and judge the fault feature types of arc high impedance grounding of low‐voltage distribution lines, a fault feature extr
Externí odkaz:
https://doaj.org/article/f9916ea199414d6ba4b3951944c33791
Autor:
CHU Xu, BAO Zehong
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 57, Iss 4, Pp 379-392 (2023)
Integrated energy system (IES) has become the research hotspot of the energy system due to the characteristics of multi-energy joint coordination and energy efficiency. Because of the complex structure, control, and fault characteristics of IES, it i
Externí odkaz:
https://doaj.org/article/2f318ef8a6114292a5bbe5b30079cac6
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 3, p 455 (2024)
Variational Mode Decomposition (VMD) has typically been used in weak fault feature extraction in recent years. The problem analyzed in this study is weak fault feature extraction and the enhancement of AUV thrusters based on Artificial Rabbits Optimi
Externí odkaz:
https://doaj.org/article/4136b4488d1d440796303601242c349b
Publikováno v:
IEEE Access, Vol 11, Pp 80702-80715 (2023)
Turbocharger is one of the vital parts of a diesel engine causing a high failure rate. Its surface vibration signal contains important time-varying features. To better process the nonstationary signals with time-varying features and perform the time-
Externí odkaz:
https://doaj.org/article/aebeef825d9b41998002fb877f6c99a5
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 9, Pp 9335-9356 (2022)
This study investigated the fault feature extraction and fusion problem for autonomous underwater vehicles with weak thruster faults. The conventional fault feature extraction and fusion method is effective when thruster faults are serious. However,
Externí odkaz:
https://doaj.org/article/5774be838115477391e1309c10028d90