Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Jiwen Tan"'
Publikováno v:
Cognitive Computation and Systems, Vol 4, Iss 3, Pp 229-241 (2022)
Abstract Smart meters are one of the crucial terminals in the construction of smart grids, and it is necessary to assess their health status to prevent failures. Based on a hierarchical evaluation index system, this study improved the entropy method
Externí odkaz:
https://doaj.org/article/d761b31e65e74f77836638b8384ef30b
Publikováno v:
Heliyon, Vol 8, Iss 11, Pp e11623- (2022)
The detection of broken wires in steel wire ropes is of great significance for the production safety. However, the existing identification techniques mainly focus on the external broken wires problem. Here, the artificial feature extraction is one of
Externí odkaz:
https://doaj.org/article/1e4f49f0fdd848778ed1a22bcd9d0b48
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
Each pattern recognition method has its advantages and disadvantages to diagnose the state of rotating machinery. There are many fault types of rolling bearings with apparent uncertainty. The optimal fusion level is usually challenging to be selected
Externí odkaz:
https://doaj.org/article/ca61ccd1e3094fbba63bd2ba2968baa3
Publikováno v:
Materials Research Express, Vol 7, Iss 9, p 096102 (2020)
Magnetic flux leakage (MFL) method is an important way to detect the fault of steel wire ropes and the sensor for the collection of MFL plays a vital role in the damage detection. Among varied sensors based on MFL method, the magnetic concentrating s
Externí odkaz:
https://doaj.org/article/b04d4ca5a0ef4263ab0d3ef929b317a6
A Sensor for Broken Wire Detection of Steel Wire Ropes Based on the Magnetic Concentrating Principle
Publikováno v:
Sensors, Vol 19, Iss 17, p 3763 (2019)
Electromagnetic testing is the most widely used technique for the inspection of steel wire ropes. As one of the electromagnetic detecting approaches, the magnetic flux leakage (MFL) method has the best effect for the detection of broken wires. Howeve
Externí odkaz:
https://doaj.org/article/0cb6c4f9bc0842bdabd4e514934f16dd
Publikováno v:
Advances in Mechanical Engineering, Vol 8 (2016)
Rolling bearing is of great importance in rotating machinery, so the fault diagnosis of rolling bearing is essential to ensure safe operations. The traditional diagnosis approach based on characteristic frequency was shown to be not consistent with e
Externí odkaz:
https://doaj.org/article/4cdbae19f9ae44b5acba677be9673ff5
Publikováno v:
Inorganic Chemistry. 61:9381-9384
The complexation of uranium(VI) [U(VI)] with dipicolinic acid was revisited with respect to the missing protonated complex species existing in acidic solutions. For the first time, the presence of the protonated complex, UO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13f84ac93405458848df62c0767cf652
https://doi.org/10.1021/acs.inorgchem.2c00808
https://doi.org/10.1021/acs.inorgchem.2c00808
Publikováno v:
Structural Health Monitoring. 19:240-261
An artificial intelligent bearing fault and hierarchical severity diagnosis framework is proposed in this study. The framework utilizes a combined deep belief networks (DBNs) and Dempster–Shafer (D-S) theory fault diagnosis scheme and adopts a two-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff6b447df9c4dcc83de73aacbac1d41a
https://doi.org/10.1177/1475921719841690
https://doi.org/10.1177/1475921719841690
Publikováno v:
Measurement. 134:375-384
Empirical wavelet transform (EWT) is an adaptive wavelet based analysis which can be used to extract useful amplitude modulated-frequency modulated (AM-FM) mono components from a bearing vibration signal. However, the pre-requisite segmentation metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a1b2ff1c2acf97d481ecbda32dc193b
https://doi.org/10.1016/j.measurement.2018.10.086
https://doi.org/10.1016/j.measurement.2018.10.086
Publikováno v:
Journal of Shanghai Jiaotong University (Science). 23:696-701
A new fault diagnosis technique for rolling element bearing using multi-scale Lempel-Ziv complexity (LZC) and Mahalanobis distance (MD) criterion is proposed in this study. A multi-scale coarse-graining process is used to extract fault features for v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1e3493cb6670d973f8a161b28e525c8
https://doi.org/10.1007/s12204-018-1965-2
https://doi.org/10.1007/s12204-018-1965-2