scholarly journals A One-Stop BSS Analysis Method of Integrated System Signals Based on Wavelet Transform, FastICA and SOM

2015 ◽  
Author(s):  
Hongyi Li ◽  
Liantao Ma ◽  
Bin Chen ◽  
Di Zhao
Keyword(s):  
Wavelet Transform ◽  
Integrated System ◽  
Analysis Method ◽  
One Stop

scholarly journals Energy Analysis Method Based on Wavelet Transform for Sensor Fault Diagnosis

2011 ◽  
Vol 2-3 ◽  
pp. 117-122 ◽  
Author(s):  
Peng Peng Qian ◽  
Jin Guo Liu ◽  
Wei Zhang ◽  
Ying Zi Wei
Keyword(s):  
Wavelet Transform ◽  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Energy Analysis ◽  
Sensor Faults ◽  
Analysis Method ◽  
Sensor Fault ◽  
Fault Type ◽  
Ideal Tool ◽  
Non Stationary Signal

Wavelet analysis with its unique features is very suitable for analyzing non-stationary signal, and it can also be used as an ideal tool for signal processing in fault diagnosis. The characteristics of the faults and the necessary information on the diagnosis can be constructed and extracted respectively by wavelet analysis. Though wavelet analysis is specialized in characteristics extraction, it can not determine the fault type. So this paper has proposed an energy analysis method based on wavelet transform. Experiment results show the method is very effective for sensor fault diagnosis, because it can not only detect the sensor faults, but also determine the fault type.

scholarly journals WDFB Digital Watermarking Method Based on Multiscale Geometrie Analysis

2012 ◽  
Vol 6-7 ◽  
pp. 1145-1149
Author(s):  
Gui Ming Shao ◽  
Zhi Hua Hu
Keyword(s):  
Image Analysis ◽  
Wavelet Transform ◽  
Digital Watermarking ◽  
Median Filtering ◽  
Watermark Image ◽  
Original Image ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Strong Robustness ◽  
The One

Combined with the human visual system and proposes a digital watermarking algorithm based WDFB domain. The algorithm is not the original image and watermark image WDFB coefficient directly superimposed, but the original image WDFB coefficient after pretreatment by the addition criteria to implement the embedded watermark. The experimental results show that the algorithm has strong robustness to shear, median filtering, noise and JPEG compression attacks. WDFB transform a new image analysis method is proposed for the lack of wavelet transform, but the watermarking method that there exist inadequacies; on the one hand, the need to use the original extract the watermark image should be along the zero-watermark the direction of the watermarking algorithm improvements.

ONESVIEW: An Integrated System for One-Stop Virtual Design Review

2010 ◽  
Vol 18 (1) ◽  
pp. 75-91 ◽  
Author(s):  
SangSu Choi ◽  
HyunJei Jo ◽  
Stefan Boehm ◽  
Sang Do Noh
Keyword(s):  
Integrated System ◽  
Virtual Design ◽  
Design Review ◽  
One Stop

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.

Research on Goniometer Fault Detection of a Certain Missile Based on Wavelet Analysis

2012 ◽  
Vol 490-495 ◽  
pp. 1600-1604
Author(s):  
Zhu Lin Wang ◽  
Jiang Kun Mao ◽  
Zi Bin Zhang ◽  
Xi Wei Guo
Keyword(s):  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Discrete Wavelet Transform ◽  
Frequency Analysis ◽  
Discrete Wavelet ◽  
Analysis Method ◽  
Frequency Method ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Fault Characteristic

Aiming at the problem of existing time-frequency analysis methods was not effective to goniometer keeping fault of a certain missile, combined time -frequency analysis method of CWT and DWT for the fault was put forward based on the fault characteristic. The process of the method proposed was given and the time-frequency method of continuous and discrete wavelet transform was analysed. The signal when goniometer keeping fault occurred was analysed by the method that was put forward. The simulation showed that the method which was effective to the fault detecting could accurately detect the time and location of goniometer fault occurred.

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