Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Hanxin Chen"'
Autor:
Yufang Li, Zengqiang Li, Tai Ma, Li Zeng, Hanxin Chen, Xiaoxiong Lei, Kai Ma, Zihao Zhang, Yangwei Ding, Jiangtao Han
Publikováno v:
Journal of Materials Research and Technology, Vol 27, Iss , Pp 4706-4722 (2023)
The extract of peanut shell extract (PSE) is firstly utilized as a novel eco-friendly corrosion inhibitor for the mitigation of corrosion on carbon steel in 0.5 M sulfuric acid medium. The corrosion inhibition performance and adsorption properties of
Externí odkaz:
https://doaj.org/article/7adfb73b706745ad880ea858d5cf376c
Publikováno v:
Arabian Journal of Chemistry, Vol 16, Iss 8, Pp 104935- (2023)
Flow accelerated corrosion (FAC) behavior of X65 steel gradual contraction pipe in high CO2 partial pressure environments was investigated by in situ dynamic high pressure electrochemical measurements with Ag/AgCl reference electrode in FAC loop and
Externí odkaz:
https://doaj.org/article/ea3ba5d7caf64a49be0ad887ac7f82ae
Publikováno v:
Sensors, Vol 24, Iss 5, p 1394 (2024)
The registration of bridge point cloud data (PCD) is an important preprocessing step for tasks such as bridge modeling, deformation detection, and bridge health monitoring. However, most existing research on bridge PCD registration only focused on pa
Externí odkaz:
https://doaj.org/article/d6e0692d4e4c4dd8938484f6fbc3887a
Publikováno v:
Machines, Vol 11, Iss 8, p 837 (2023)
Here, a novel hybrid method of intelligent fault identification within complex mechanical systems was proposed using parallel-factor (PARAFAC) theory and adaptive particle swarm optimization (APSO) for a support vector machine (SVM). The parallel-fac
Externí odkaz:
https://doaj.org/article/e117522b860145dd9d7cf08d23cf2274
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-33 (2021)
Abstract The monitoring of mechanical equipment systems contains an increasing number of complex content, expanding from traditional time, and frequency information to three-dimensional data of the time, space, and frequency information, and even hig
Externí odkaz:
https://doaj.org/article/026c2426a4c34da39da99b876d370573
Publikováno v:
Materials, Vol 16, Iss 2, p 848 (2023)
A steel-wire wound reinforced thermoplastic pipe (SWW-RTP) has been widely utilized in many industrial areas, and a soil landslide is an inevitable hazardous extreme condition for the SWW-RTP as it is usually buried underground. It is imperative to s
Externí odkaz:
https://doaj.org/article/acf33d0663e549b2ac47967bb30d959d
Publikováno v:
International Journal of Turbomachinery, Propulsion and Power, Vol 7, Iss 3, p 19 (2022)
Conventional signal processing methods such as Principle Component Analysis (PCA) focus on the decomposition of signals in the 2D time–frequency domain. Parallel factor analysis (PARAFAC) is a novel method used to decompose multi-dimensional arrays
Externí odkaz:
https://doaj.org/article/ddfa0c096e274a4c8988ee8fde792114
Autor:
Hanxin Chen, Shaoyi Li
Publikováno v:
Sensors, Vol 22, Iss 10, p 3647 (2022)
A new method of multi-sensor signal analysis for fault diagnosis of centrifugal pump based on parallel factor analysis (PARAFAC) and support vector machine (SVM) is proposed. The single-channel vibration signal is analyzed by Continuous Wavelet Trans
Externí odkaz:
https://doaj.org/article/5083fd5209da4453a36b6533d6b0707c
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
The spatial information of the signal is neglected by the conventional frequency/time decompositions such as the fast Fourier transformation, principal component analysis, and independent component analysis. Framing of the data being as a three-way a
Externí odkaz:
https://doaj.org/article/e91081686803498586661de6e8c27c73
Publikováno v:
Machines, Vol 10, Iss 2, p 155 (2022)
Data analysis has wide applications in eliminating the irrelevant and redundant components in signals to reveal the important informational characteristics that are required. Conventional methods for multi-dimensional data analysis via the decomposit
Externí odkaz:
https://doaj.org/article/55f7952a12ed42548fb6bc20a1aa1d4c