Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Guoji Shen"'
Publikováno v:
Measurement + Control, Vol 57 (2024)
Maintaining exceptional product quality and boosting processing efficiency requires precise evaluation of various aspects of the turning process, including the cutting depth, feed rate, and size of the workpiece. This article presents a novel approac
Externí odkaz:
https://doaj.org/article/be9af80e4c344f28850e86b54a42aa32
Publikováno v:
IET Electric Power Applications, Vol 16, Iss 11, Pp 1249-1272 (2022)
Abstract As More/All Electric Aircraft gradually become a research hotspot, electromechanical actuators (EMAs), which can directly convert electrical energy into mechanical energy, have gained more and more attention. However, since the reliability o
Externí odkaz:
https://doaj.org/article/7e28182b645c4b1d9d31484de710bdd6
Publikováno v:
IEEE Access, Vol 8, Pp 122641-122653 (2020)
The diagnosis performance of Deep Convolutional Neural Network (DCNN) method is closely related to the generalization ability of the training model. An empirical training strategy is to randomly disperse the training samples and train the model with
Externí odkaz:
https://doaj.org/article/5821ee0060a44ec8b2cc4df76aaad58c
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 10088 (2022)
Belt transmission is one of the most common forms of transmission on CNC lathes. To assess the impact of belt performance on monitoring machining conditions using motor current signal analysis, we developed a dynamic model for belt-driven electromech
Externí odkaz:
https://doaj.org/article/0ba3ddcbc0a94c969fe5988271e82e3d
Publikováno v:
Entropy, Vol 24, Iss 10, p 1386 (2022)
Induction motors are complex energy conversion systems across the domains of dynamics, electricity, and magnetism. Most existing models mainly consider unidirectional coupling, such as the effect of dynamics on electromagnetic properties, or the effe
Externí odkaz:
https://doaj.org/article/0bebdb4cfb764da8906fa3157a7fe15d
Eight-DOF Dynamic Modeling of EMA Mechanical Transmission and Spalling Fault Characteristic Analysis
Publikováno v:
Actuators, Vol 11, Iss 8, p 226 (2022)
Electromechanical actuators (EMAs), as the critical actuator system of next-generation aircraft, have attracted the attention of many institutions and enterprises around the world. However, due to harsh working conditions, their reliability cannot sa
Externí odkaz:
https://doaj.org/article/88205895235148d7899cca51512d7d0b
Publikováno v:
Machines, Vol 10, Iss 8, p 682 (2022)
Detecting motor bearing faults by stator currents is of great importance as it improves the adaptability of measurement means to different environments and reduces the number of sensors. Therefore, many studies have been conducted to investigate bear
Externí odkaz:
https://doaj.org/article/32bf706f5af44a3fa2bf6081af933e82
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
During the working process of the turbine, some types of faults can cause changes in the vibration characteristics of the blades. The real-time vibration monitoring of the blades is of great significance to the stable operation and state-based mainte
Externí odkaz:
https://doaj.org/article/30eeff386eed4a089c92805baf2c08e6
Publikováno v:
Entropy, Vol 24, Iss 5, p 614 (2022)
Motor faults, especially mechanical faults, reflect eminently faint characteristic amplitudes in the stator current. In order to solve the issue of the motor current lacking effective and direct signal representation, this paper introduces a visual f
Externí odkaz:
https://doaj.org/article/58e502f7c7de4ac3b0aa781f5481a3a9
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
Monitoring the vibrations of high-speed rotating blades is significant to the security of turbomachineries. Blade tip timing (BTT) is considered as a promising technique for detecting blade vibrations without contact online. However, extracting blade
Externí odkaz:
https://doaj.org/article/286f5c366b5148ebb6ddee59690c8c29