scholarly journals An Improved Spectral Analysis Method for Fatigue Damage Assessment of Details in Liquid Cargo Tanks

2018 ◽  
Vol 32 (1) ◽  
pp. 62-73 ◽  
Author(s):  
Peng-yuan Zhao ◽  
Xiao-ping Huang
Keyword(s):  
Spectral Analysis ◽  
Fatigue Damage ◽  
Damage Assessment ◽  
Analysis Method ◽  
Spectral Analysis Method

An Adaptive Graph Spectral Analysis Method for Feature Extraction of an EEG Signal

2019 ◽  
Vol 19 (5) ◽  
pp. 1884-1896 ◽  
Author(s):  
Shanzhi Xu ◽  
Hai Hu ◽  
Linhong Ji ◽  
Peng Wang
Keyword(s):  
Feature Extraction ◽  
Spectral Analysis ◽  
Eeg Signal ◽  
Analysis Method ◽  
Spectral Analysis Method

scholarly journals Residual Network Structure-based High Accuracy Spectral Analysis Method

2019 ◽  
Vol 15 (11) ◽  
pp. 3090
Author(s):  
Wu Sai ◽  
Wang Zhihui ◽  
Meng Sachura ◽  
Zheng Weijun ◽  
Shao Weiping
Keyword(s):  
Spectral Analysis ◽  
Network Structure ◽  
High Accuracy ◽  
Analysis Method ◽  
Residual Network ◽  
Spectral Analysis Method

scholarly journals Spectral whitening based on the singular spectral analysis method

2018 ◽  
Vol 15 (4) ◽  
pp. 1460-1469 ◽  
Author(s):  
Rafael R Manenti ◽  
Wilker E Souza ◽  
Milton J Porsani
Keyword(s):  
Spectral Analysis ◽  
Analysis Method ◽  
Singular Spectral Analysis ◽  
Spectral Analysis Method

Comparison of Hydraulic Pump Faults Diagnosis Methods: Wavelet vs. Spectral Analyses

2005 ◽  
Author(s):  
Yingjie Gao ◽  
Qin Zhang ◽  
Xiangdong Kong
Keyword(s):  
Spectral Analysis ◽  
Wavelet Transform ◽  
Finite Length ◽  
Data Sets ◽  
Analysis Method ◽  
Hydraulic Pump ◽  
Transform Method ◽  
Outlet Pressure ◽  
Spectral Analysis Method ◽  
Faults Diagnosis

This paper introduces two faults diagnosis methods, a conventional spectral analysis method and a wavelet transform method, for hydraulic pump applications. The fundamental technologies of both methods, as well as their performance in detecting a few common hydraulic pump defects, are described in this paper. The performance of both diagnoses methods were evaluated based on experimental results. In order to eliminate the effects of border distortion arising from applying wavelet transform to finite-length signals, the pump outlet pressure in this case, a preprocess on the obtained signals is carried to clean up the errors prior to faults diagnosis analysis. Validation results obtained from both methods in analyzing the same data sets indicated that the wavelet transform based method showed a more sensitive and robust detecting capability than that obtained from a spectrum analyses approach.

Magnetic Spectral Analysis Method of Ferromagnetic Mixture

2014 ◽  
Vol 602-605 ◽  
pp. 2721-2725
Author(s):  
Qin Lan Zhang ◽  
Zhi Yong Lu ◽  
Xiang Liu
Keyword(s):  
Spectral Analysis ◽  
Magnetic Property ◽  
Measurement Method ◽  
Powder Processing ◽  
Spectral Characteristics ◽  
Magnetic Saturation ◽  
Analysis Method ◽  
Magnetic Spectrum ◽  
Spectral Analysis Method ◽  
Theory And Experiment

There are different magnetic property of materials mixed in the mechanical wear of abrasive and powder processing. Depending on different alloy and magnetized material with different magnetic saturation characteristics, some substances reach the magnetic saturation in the magnetization processing soon, while some substances must be in a strong magnetic field to reach saturation, resulting in the magnetic property of combination material mixed with multi-component metal abrasive has multi-ingredient combination characteristics. Based on the PQ excitation measurement method, we analyze the magnetic property between the typical magnetic abrasive individual and combinations. We also build the magnetic spectral characteristics of the mixture which is made up of materials with different magnetic property, and finish the establishment of two mixtures mapping. This paper aims to explore the magnetic spectral analysis method of ferromagnetic mixture from the theory and experiment, and propose the magnetic spectrum analysis and calculation method of the mixture.

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