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Component fault diagnosis for nonlinear systems
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作者 Junjie Huang Zhen Jiang Junwei Zhao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第6期1283-1290,共8页
In the field of fault diagnosis, the state equation of nonlinear system, including the actuator and the component, has been established. When the faults in the system appear, it is difficult to observe the fault isola... In the field of fault diagnosis, the state equation of nonlinear system, including the actuator and the component, has been established. When the faults in the system appear, it is difficult to observe the fault isolation between the actuator and the component. In order to diagnose the component fault in the nonlinear systems, a novel strategy is proposed. The nonlinear state equation with only the component system is built on mathematical equations. The nonlinearity of the component equation is expanded and estimated with Taylor series. If the actuator is perfect, the anomaly of the state equations reflects the component fault. The fault feature index is defined to detect the component fault and the initial fault. The numerical examples of the component faults are simulated for multiple-input multiple-output(MIMO)nonlinear systems. The results show that the component faults,as well as the incipient faults, can be detected. Furthermore, the effectiveness of the proposed strategy is verified. This method can also provide a foundation for the component fault reconfiguration control. 展开更多
关键词 multiple-input multiple-output(MIMO) nonlinear systems component faults fault feature index fault diagnosis
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New Contour Detection Model Working on Gray-Scale Image of Blended Yarn Cross-Section
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作者 杨宝娣 陶晨 顾平 《Journal of Donghua University(English Edition)》 EI CAS 2009年第6期611-615,共5页
The traditional Contour Tracing algorithm works on the binary image. It is developed that a new model called Facula Diffusion which can work directly on gray-scaled images according to the principle of human vision. T... The traditional Contour Tracing algorithm works on the binary image. It is developed that a new model called Facula Diffusion which can work directly on gray-scaled images according to the principle of human vision. The diffusion operation is controlled by four factors including approximation, closing, length-limiting, and hit-rate. Based on this model, three shape indices, i. e., dimension index, abnormity index, and fluctuation index, were put forward to describe the shape of objects. The rule of shape indices selection was discussed subsequently. Finally, the fibers in polyester/cotton blended yam are classified and the blending ratio is determined. 展开更多
关键词 blended yarn blending ratio image analysis contour tracing facula diffusion feature index
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Women's Basic Block Based on the Body Recognition
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作者 谢红 张渭源 《Journal of Donghua University(English Edition)》 EI CAS 2003年第3期141-143,共3页
Body analysis is an important method to clothing construction design. It not only gets the measurement of body, but also analyze the style of body shape. We have discussed the method of woman body fuzzy recognition in... Body analysis is an important method to clothing construction design. It not only gets the measurement of body, but also analyze the style of body shape. We have discussed the method of woman body fuzzy recognition in another paper and from that we divide woman bodies into thirty-six groups. In each group,bodies have one kind of basic block and there is difference between any two kinds. This paper puts forward thirty-six basic block modes based on various woman bodies. 展开更多
关键词 body analysis basic block feature index
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Quality assessment method for geometrically distorted images
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作者 Binbing LIU Ming ZHAO Haiqing CHEN 《Frontiers of Optoelectronics》 EI CSCD 2013年第3期275-281,共7页
The objective assessment of image quality is important for image processing, which has been paid much attention to in recent years. However, there were few reports about objective quality assessment methods for geomet... The objective assessment of image quality is important for image processing, which has been paid much attention to in recent years. However, there were few reports about objective quality assessment methods for geometrically distorted images. Different from the routine image degradation processing (for example, noise addi- tion, contrast change and lossy compression), the geo- metric distortion results in the changes of the spatial relationship of image pixels, which makes the traditional quality assessment algorithms, such as mean square error (MSE) and peak signal to noise ratio (PSNR) failure to obtain expected assessment results. In this paper, a full reference image quality assessment algorithm is proposed specifically for the quality evaluation of geometrically distorted images. This assessment algorithm takes into account three key factors, such as distortion intensity, distortion change rate and line feature index for perceptual quality assessment of images. Experimental results in this study show that the proposed assessment algorithm not only is significantly better than those of the traditional objective assessment methods such as PSNR and structural similarity index measurement (SSIM), but also has significant correlation with human subjective assessment. 展开更多
关键词 image quality assessment geometrical distor-tion displacement vector field line feature index Hough transform
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