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Fault diagnosability quantitative evaluation and method of fault diagnosis for nonlinear system
期刊论文
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2016, 卷号: 44, 期号: 12, 页码: 102-108
作者:
Jiang, Dongnian
;
Li, Wei
;
Wang, Jun
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提交时间:2020/11/14
Failure analysis
Function evaluation
Monte Carlo methods
Nonlinear systems
Probability density function
Design stage
Diagnosis algorithms
False alarm ratio
Fault diagnosability
Kullback Leibler divergence
Kullback-Leibler
Quantitative evaluation
Sparse kernels
Fault diagnosis of particle filter nonlinear systems based on adaptive threshold
期刊论文
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2016, 卷号: 42, 期号: 10, 页码: 2099-2106
作者:
Jiang, Dongnian
;
Li, Wei
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浏览/下载:15/0
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提交时间:2020/11/14
Alarm systems
Electric fault currents
Errors
Failure analysis
Fault slips
Monte Carlo methods
Nonlinear systems
Normal distribution
Systems engineering
Adaptive threshold method
Adaptive thresholds
Continuous stirred tank reactor
False alarm ratio
Miss alarm ratio
Non-linear non-Gaussian
Particle filter
Statistical properties
Background suppression of small target image based on fast local reverse entropy operator
期刊论文
IET Computer Vision, 2013, 卷号: 7, 期号: 5, 页码: 405-413
作者:
He Deng
;
Yantao Wei
;
Mingwen Tong
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浏览/下载:3/0
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提交时间:2019/12/23
entropy
object detection
signal processing
background suppression
target image
local reverse entropy operator
target detection
signal-to-noise ratio
complex backgrounds
false alarm
quantitative analysis
qualitative analysis
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE)
会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Dong Y.-X.
;
Li Y.
;
Zhang H.-B.
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提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system
the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms
such as adaptive background prediction detecting method. When background has dispersion-decreasing structure
the traditional target detection algorithms would be more useful. But when the background has large gray gradient
such as sea-sky-line
sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature
in our opinion
from the perspective of mathematics
the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis
the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection
its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore
the purpose of the image preprocessing is to reduce the effects from noise
also to raise the SNR of image
and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics
the median filter is used to eliminate noise
improve signal-to-noise ratio
then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line
so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Distributed CFAR detection of array signals from multiple sensors
期刊论文
2010, 2010
Yan Jun
;
Guan Jian
;
Peng Yingning
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