Target Segmentation for Hyperspectral Imagery Based on FastICA

Yongjian, 粘永健 Nian; Zhi, 张志 Zhang; Li-bao, 王力宝 Wang; Jianwei, 万建伟 Wan

doi:10.3788/gzxb20103906.1003

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since there are lots of unfavorable factors such as the electromagnetism disturbance created by the motor, the power rectifying equipment and the noise from the trunk power network and other disturbances by ground impedance between cell circuits as well as the running condition of the train wheelset, the accuracy and the reliability of the on-line monitoring and fault diagnosis of the train wheelset has been paid close attention [1,2] . With the railway transportation development towards to the high speed and the heavy load, the conventional monitoring methods are not satisfactory.…”

Section: Introductionmentioning

confidence: 99%

An Approach to the Characteristic Spectrum Analysis for Train Wheelset Fault Diagnosis

Zhang

Huang

Zhou

2011

KEM

View full text Add to dashboard Cite

In the view of the fact that the information of the fault characteristic of the train wheelset is submerged into the background noises and the conventional spectral analysis method has its own deficiency due to the fuzzy spectrum value created by the load variation and rotation speed fluctuation, the paper proposes a method of the characteristic spectrum analysis of the on-line fault diagnosis of the train wheelset. And the correspondent system is developed to meet the practical application. In the paper, the issues such as the signal sampling, signal processing and the inhabitation of the characteristic spectrum leakage besides the principle of the new method. The application indicates the method is reliable and effective since it can describe the fault characteristic more exactly than any other conventional ones.

show abstract

Section: Introductionmentioning

confidence: 99%