Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shengfei Ji"'
Publikováno v:
Actuators, Vol 13, Iss 9, p 357 (2024)
Truck cranes, which are crucial construction equipment, need to maintain good operational performance to ensure safe use. However, the complex and ever-changing working conditions they face often make it challenging to test their performance effectiv
Externí odkaz:
https://doaj.org/article/255127f6d5fc4fd08ce30843d3d7873f
Publikováno v:
Actuators, Vol 13, Iss 1, p 38 (2024)
The hydraulic pump plays a pivotal role in engineering machinery, and it is essential to continuously monitor its operating status. However, many vital signals for monitoring cannot be directly obtained in practical applications. To address this, we
Externí odkaz:
https://doaj.org/article/b47683ce60cc459b8e71ca1adbad8f59
Publikováno v:
IEEE Access, Vol 9, Pp 17649-17661 (2021)
The electric shovel is a bucket-equipped mining excavator widely used in open-pit mining today. The prolonged direct impact of the bucket teeth with hard and abrasive materials such as ore during the process of the mining excavation can cause the buc
Externí odkaz:
https://doaj.org/article/92c144d9f9014ad59012edb301e10d9b
Publikováno v:
Mathematics, Vol 10, Iss 21, p 3953 (2022)
Traditional data-driven intelligent fault diagnosis methods have been successfully developed under the closed set assumption (CSA). CSA-based fault diagnosis assumes that the fault types in the test set are consistent with that in the training set, w
Externí odkaz:
https://doaj.org/article/67222990de974f5ab2924b91440469ae
Publikováno v:
Shock and Vibration, Vol 2018 (2018)
This paper presents a method that combines Shuffled Frog Leaping Algorithm (SFLA) with Support Vector Machine (SVM) method in order to identify the fault types of rolling bearing in the gearbox. The proposed method improves the accuracy of fault diag
Externí odkaz:
https://doaj.org/article/91c58fff53a74e698f7f863b83d360ad
Publikováno v:
Shock and Vibration, Vol 2018 (2018)
This paper presents a method that combines Shuffled Frog Leaping Algorithm (SFLA) with Support Vector Machine (SVM) method in order to identify the fault types of rolling bearing in the gearbox. The proposed method improves the accuracy of fault diag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9104fb218b6b9d1066b17754d92d242f
Publikováno v:
Actuators; Sep2024, Vol. 13 Issue 9, p357, 36p
Autor:
Zhang, Bo1 (AUTHOR), Zhou, Caicai1 (AUTHOR), Li, Wei2 (AUTHOR) 4960@cumt.edu.cn, Ji, Shengfei2 (AUTHOR), Li, Hengrui2 (AUTHOR), Tong, Zhe3 (AUTHOR), Ng, See-Kiong4 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Nov2022, Vol. 10 Issue 21, p3953. 22p.
Publikováno v:
Actuators; Jan2024, Vol. 13 Issue 1, p38, 19p
Publikováno v:
Shock & Vibration. 12/20/2018, p1-13. 13p.