Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Xiaowang Chen"'
Autor:
Jian Wen, Tianmei Zhang, Shangrong Ye, Peng Zhang, Ruobing Han, Xiaowang Chen, Ran Huang, Anjun Chen, Qinghua Li
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e22766- (2024)
A transient ischemic attack (TIA) affects millions of people worldwide. Although TIA risk factors have been identified individually, a systemic quantitative analysis of all health factors relevant to TIA using electronic medical records (EMR) remains
Externí odkaz:
https://doaj.org/article/6bf2dc185ad5445faaf6a7a31240bb92
Autor:
Xiaowang Chen, Zhipeng Feng
Publikováno v:
IEEE Access, Vol 5, Pp 21918-21926 (2017)
Translational vibration-based methods have been widely used for machinery fault diagnosis. However, because of the unique gear configuration and complex kinetics, planetary gearbox translational vibration signals have complex modulation features due
Externí odkaz:
https://doaj.org/article/aa9f8517d3e1488fb20aa73a885c78f4
Autor:
Xiaowang Chen, Zhipeng Feng
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
Wind turbine planetary gearboxes often run under nonstationary conditions due to volatile wind conditions, thus resulting in nonstationary vibration signals. Time-frequency analysis gives insight into the structure of an arbitrary nonstationary signa
Externí odkaz:
https://doaj.org/article/ee70e25bac35463fab199d165909acfe
Autor:
Xiaowang Chen
In order to learn Taijiquan you must begin with the most fundamental steps, and systematically work up to the advanced levels. This book explains the five levels of Taijiquan from complete beginner to highest level practitioner. Readers will learn ho
Publikováno v:
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).
Publikováno v:
IEEE Transactions on Industrial Informatics. 15:2386-2394
Induction motor-planetary gearbox drivetrains are widely used for industrial productions, including machine tools in manufacturing systems. For fault diagnosis of planetary gearboxes in such electromechanical systems, motor current signal analysis pr
Autor:
Zhipeng Feng, Xiaowang Chen
Publikováno v:
Mechanical Systems and Signal Processing. 121:636-654
Motor current signature analysis is a promising technique for electromechanical system fault detection, and has been studied under steady states. In this paper, a planetary gearbox fault diagnosis method under variable speed conditions using stator c
Autor:
Xiaowang Chen, Zhipeng Feng
Publikováno v:
Advances in Asset Management and Condition Monitoring ISBN: 9783030577445
This paper aims to clarify the modulation effect of planetary gearbox with gear defects on stator current of three-phase induction machine. Although the spectral behavior, especially the location of fault-induced sidebands, has been analyzed in a few
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e531150cf2eb2eae9d3f01bfdc948350
https://doi.org/10.1007/978-3-030-57745-2_59
https://doi.org/10.1007/978-3-030-57745-2_59
Autor:
Zhipeng Feng, Xiaowang Chen
Publikováno v:
Mechanical Systems and Signal Processing. 110:1-27
Effective identification of signal frequency contents and their time variability is a key to success in rotating machinery fault diagnosis under nonstationary conditions. Fine time-frequency resolution and free from both inner and outer interferences
Autor:
Zhipeng Feng, Xiaowang Chen
Publikováno v:
Mechanical Systems and Signal Processing. 154:107585
Rotating machinery signals are usually dominated by rotating frequency harmonics, and the presence of these frequency components or change in their magnitudes indicate health condition. Order spectrum is widely applied in rotating machinery fault fea