Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Mingxing Jia"'
Publikováno v:
Entropy, Vol 25, Iss 12, p 1664 (2023)
This paper introduces a novel method for enhancing fault classification and diagnosis in dynamic nonlinear processes. The method focuses on dynamic feature extraction within multivariate time series data and utilizes dynamic reconstruction errors to
Externí odkaz:
https://doaj.org/article/3ddb32e2e16c41f7ab6b735a7a1cb42a
Publikováno v:
IEEE Access, Vol 8, Pp 161702-161712 (2020)
Pump type selection at a pump station affects not only the hardware investment but also the operating efficiency. The influence of atmospheric temperature on water consumption was not considered in existing studies. This article considers the uncerta
Externí odkaz:
https://doaj.org/article/67df20c606684c88b5b832b5358cfe7d
Publikováno v:
IEEE Access, Vol 7, Pp 53718-53730 (2019)
In this paper, an adaptive fuzzy controller is investigated for a class of strict-feedback nonlinear state constrained systems with both input delay and unknown control coefficients. Nussbaum gain technique is employed in the design progress to deal
Externí odkaz:
https://doaj.org/article/87f0f2230bc140dfad74f854469d2a88
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
There are many reasons for escalator reversal failure, and the reasons are distributed in different locations. It is difficult to locate the specific location of the fault in the actual fault troubleshooting. At the same time, the information related
Externí odkaz:
https://doaj.org/article/96bbd485d14a458385d72a08573b4d71
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
According to the one-dimensional characteristics of the vibration signal, this paper proposes an elevator operation fault monitoring method based on one-dimensional convolutional neural network (1-DCNN). It can solve the problems of traditional eleva
Externí odkaz:
https://doaj.org/article/abf9cdabbae94ec1b08613c66d9a543a
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
As one of the most vital parts of rotating equipment, it is an essential work to diagnose rolling bearing failure. The traditional signal processing-based rolling bearing fault diagnosis algorithms rely on artificial feature extraction and expert kno
Externí odkaz:
https://doaj.org/article/2bd62d872d9e420da19cbb67e1c6e7c5
Publikováno v:
ACS Omega. 7:36728-36747
The deep learning-based process monitoring method has attracted great attention due to its ability to deal with nonlinear correlation. However, the further modeling of learned deep features from process data to better depict typical process features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d70c3aa865607078fed5209a0ab94bc1
https://doi.org/10.1021/acsomega.2c05028
https://doi.org/10.1021/acsomega.2c05028
Publikováno v:
Journal of Process Control. 110:59-75
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cc382a895ca126d3f66758912c88b1f
https://doi.org/10.1016/j.jprocont.2021.12.005
https://doi.org/10.1016/j.jprocont.2021.12.005
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::653ad62fcef6fc6177eaa64f02ca5d71
https://doi.org/10.1109/ccdc55256.2022.10033460
https://doi.org/10.1109/ccdc55256.2022.10033460