Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zhenling Mo"'
Publikováno v:
IEEE Access, Vol 7, Pp 27313-27321 (2019)
Optimal frequency band selection is a critical step of envelope analysis for bearing fault diagnosis. In order to select the most informative band, it is necessary to define a criterion for frequency band evaluation. Kurtosis is one of such criteria,
Externí odkaz:
https://doaj.org/article/ae6f93869165450c991cc9d71f34703c
Publikováno v:
IEEE Access, Vol 7, Pp 42373-42383 (2019)
Rolling element bearing is a critical component in rotating machinery that reduces the friction between moving pairs. Bearing fault diagnosis is always considered as a research hotspot in the field of prognostics and health management, especially wit
Externí odkaz:
https://doaj.org/article/5180c2438cfd4882a4b965b876ef0b2f
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 28:770-780
Publikováno v:
ISA Transactions. 133:597-611
Empirical wavelet transform (EWT) is usually employed to segment Fourier spectrum for fault diagnosis. However, the original empirical segmentation approach may be easily affected by noise. In this paper, several conditions and a modified ratio of cy
Publikováno v:
IEEE Transactions on Cybernetics. :1-13
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-10
One-dimensional convolutional neural network (1-D CNN) can be directly applied to process temporal signals in the machinery fault diagnosis. However, it requires a large amount of data to train high-quality kernels and extract meaningful features. Th
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:9568-9577
Gearboxes are widely used in many industrial fields, and their faults may bring serious economic losses or even casualties. Therefore, two new indexes, namely, cyclic harmonic ratio (CHR) and log-CHR, are proposed in this article for gearbox fault di
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 235:4458-4474
Meyer wavelet filters are the key building blocks of empirical wavelet transform. In mechanical fault diagnosis, however, the boundaries of Meyer wavelet filters are usually defined empirically. In order to solve the problems, this paper proposes a n
Publikováno v:
IEEE Sensors Journal. 20:8307-8315
Rotating machinery are widely used in industry, and vibration analysis is one of the most common methods to monitor health condition of rotating machinery. However, due to the presence of outliers and interference, vibration signal becomes very compl
Publikováno v:
IEEE Transactions on Reliability. 69:768-780
Lithium-ion rechargeable batteries are widely used in various electronic products and equipment due to their immense benefits in power supplying. The exact remaining useful life (RUL) prediction of lithium-ion batteries has shown excellent achievemen