Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chiao-Sheng Wang"'
Publikováno v:
Machines, Vol 9, Iss 12, p 343 (2021)
Proportional integral-based particle swarm optimization (PSO) and deep deterministic policy gradient (DDPG) algorithms are applied to a permanent-magnet synchronous motor to track speed control. The proposed methods, based on notebooks, can deal with
Externí odkaz:
https://doaj.org/article/44037caa33f646afa18d501d90fd8b80
Publikováno v:
Sensors, Vol 21, Iss 21, p 7187 (2021)
With the rapid development of unmanned surfaces and underwater vehicles, fault diagnoses for underwater thrusters are important to prevent sudden damage, which can cause huge losses. The propeller causes the most common type of thruster damage. Thus,
Externí odkaz:
https://doaj.org/article/ea40d441dbfd439aa7df334d990a27b3
Publikováno v:
Sensors, Vol 21, Iss 11, p 3608 (2021)
The early diagnosis of a motor is important. Many researchers have used deep learning to diagnose motor applications. This paper proposes a one-dimensional convolutional neural network for the diagnosis of permanent magnet synchronous motors. The one
Externí odkaz:
https://doaj.org/article/34841eed446442fea0f0be21a938a88e
Publikováno v:
IEEE Sensors Journal. 22:19761-19771
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84f67ccb9b87bc5d22d5d873056b3cf8
https://doi.org/10.1109/jsen.2022.3204709
https://doi.org/10.1109/jsen.2022.3204709
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-15
This study discusses the quality analysis of a new tapping machine. By measuring the torque and speed of the tapping machine, the correlation between the quality of the nut and the tapping process is analyzed. Using various regression trees and learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc2429764875a4ce0f782f81cf3f64d1
https://doi.org/10.1109/tim.2021.3067216
https://doi.org/10.1109/tim.2021.3067216
Publikováno v:
2020 7th International Conference on Information Science and Control Engineering (ICISCE).
The application of Industrial Internet of Things are growing rapidly. Intelligent device diagnosis with edge computing technology has an important potential for the equipment safety in smart factory. In this paper, we develop a low cost edge computin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e0659220ab15ad9177937eb7a869520
https://doi.org/10.1109/icisce50968.2020.00137
https://doi.org/10.1109/icisce50968.2020.00137
Publikováno v:
AI4I
Most of the automation technology in today's factories produces fixed products over fixed production lines; this is called fixed automation. However, many companies today have short product cycles, many product varieties, and small batch sizes, and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6149393f618f8b4a7001642bd040719a
https://doi.org/10.1109/ai4i46381.2019.00026
https://doi.org/10.1109/ai4i46381.2019.00026