Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Chaozhi Cai"'
Publikováno v:
IEEE Access, Vol 12, Pp 45011-45025 (2024)
To address the problems of limited identification accuracy and poor generalization ability of bearing fault diagnosis models, a convolutional neural network model for bearing fault diagnosis based on convolutional block attention module and multi-cha
Externí odkaz:
https://doaj.org/article/a56640654ccd434aaa62b53395b783e9
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2706 (2024)
In order to improve the accuracy of bearing fault diagnosis under a small sample, variable load, and noise conditions, a new fault diagnosis method based on an image information fusion and Vision Transformer (ViT) transfer learning model is proposed
Externí odkaz:
https://doaj.org/article/cb12271e469f4683b5a75972cd64d8ef
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2565 (2024)
Because the gearbox in transmission systems is prone to failure and the fault signal is not obvious, the fault end cannot be located. In this paper, a gearbox fault diagnosis method grounded on improved complete ensemble empirical mode decomposition
Externí odkaz:
https://doaj.org/article/9f06c0cffdce465fa1f8fb67d956495a
Publikováno v:
Advances in Mechanical Engineering, Vol 15 (2023)
In this paper, in order to solve the problem that it is difficult to carry out accurate fault diagnosis for gearbox under noise environment, complete ensemble imperial mode decomposition with adaptive noise analysis (CEEMDAN) is used to solve the sam
Externí odkaz:
https://doaj.org/article/fa3731fb35634f41a3cae7b4f372f8c7
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3822 (2023)
Pointer meters have been widely used in industrial field due to their strong stability; it is an important issue to be able to accurately read the meter. At present, patrol robots with computer vision function are often used to detect and read meters
Externí odkaz:
https://doaj.org/article/55fc838431bb4895a26542fe7fd8abe2
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2545 (2023)
The complex application environments of frame structures and the similar vibration signals between different locations make it difficult to accurately diagnose damage using traditional methods. Based on modifying the parameters and configuration of t
Externí odkaz:
https://doaj.org/article/1cfc2fe6bf6c440990bd552ccf081d02
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1695 (2023)
The whistle of the rail train is usually directly controlled by the driver. However, in long-distance transportation, there is a risk of traffic accidents due to driver fatigue or distraction. In addition, the noise pollution of the train whistle has
Externí odkaz:
https://doaj.org/article/1b6fc69c1ca54f1ba0eb2da0c86ab6e5
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12883 (2022)
Aiming at a problem that it is difficult for accurately obtaining the mathematical model of a gas temperature for a high-speed, high-temperature heat-airflow test system, a grey box modeling method combining first principle of modeling, recursive lea
Externí odkaz:
https://doaj.org/article/fd0cee97857441cebf62ca847c3356f3
Publikováno v:
Sensors, Vol 23, Iss 1, p 418 (2022)
Accurate damage location diagnosis of frame structures is of great significance to the judgment of damage degree and subsequent maintenance of frame structures. However, the similarity characteristics of vibration data at different damage locations a
Externí odkaz:
https://doaj.org/article/b2f620ed51d941d590ba2cd1cbc1627f
Publikováno v:
Sensors, Vol 22, Iss 23, p 9427 (2022)
Structural health monitoring and fault diagnosis are important scientific issues in mechanical engineering, civil engineering, and other disciplines. The basic premise of structural health work is to be able to accurately diagnose the fault in the st
Externí odkaz:
https://doaj.org/article/654be03680bd4699b121fed266421a31