• Title/Summary/Keyword: Saturation detection

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Incorporating Performance Degradation in Fault Tolerant Control System Design with Multiple Actuator Failures

  • Zhang, Youmin;Jiang, Jin;Theilliol, Didier
    • International Journal of Control, Automation, and Systems
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    • v.6 no.3
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    • pp.327-338
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    • 2008
  • A fault tolerant control system design technique has been proposed and analyzed for managing performance degradation in the presence of multiple faults in actuators. The method is based on a control structure with a model reference reconfigurable control design in an inner loop and command input adjustment in an outer loop. The reduced dynamic performance requirements in the presence of different actuator faults are accounted for through different performance reduced (degraded) reference models. The degraded steady-state performances are governed by the reduced levels of command input. The reconfigurable controller is designed on-line automatically in an explicit model reference control framework so that the dynamics of the closed-loop system follow that of the performance reduced reference model under each fault condition. The reduced command input level is determined to prevent potential actuator saturation. The proposed method has been evaluated and analyzed using an aircraft example against actuator faults subject to constraints on the magnitude and slew-rate of actuators.

Pan-sharpening Effect in Spatial Feature Extraction

  • Han, Dong-Yeob;Lee, Hyo-Seong
    • Korean Journal of Remote Sensing
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    • v.27 no.3
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    • pp.359-367
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    • 2011
  • A suitable pan-sharpening method has to be chosen with respect to the used spectral characteristic of the multispectral bands and the intended application. The research on pan-sharpening algorithm in improving the accuracy of image classification has been reported. For a classification, preserving the spectral information is important. Other applications such as road detection depend on a sharp and detailed display of the scene. Various criteria applied to scenes with different characteristics should be used to compare the pan-sharpening methods. The pan-sharpening methods in our research comprise rather common techniques like Brovey, IHS(Intensity Hue Saturation) transform, and PCA(Principal Component Analysis), and more complex approaches, including wavelet transformation. The extraction of matching pairs was performed through SIFT descriptor and Canny edge detector. The experiments showed that pan-sharpening techniques for spatial enhancement were effective for extracting point and linear features. As a result of the validation it clearly emphasized that a suitable pan-sharpening method has to be chosen with respect to the used spectral characteristic of the multispectral bands and the intended application. In future it is necessary to design hybrid pan-sharpening for the updating of features and land-use class of a map.

Determination of Theophylline and its Metabolites in Human Urine by High-Performance Liquid Chromatography

  • Kim, Kyeong-Ho;Park, Young-Hwan;Park, Hyo-Kyung;Kim, Ho-Soon;Lee, Min-Hwa
    • Archives of Pharmacal Research
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    • v.19 no.5
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    • pp.396-399
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    • 1996
  • High-performance liquid chromatographic method with UV detecction was developed for the determination of theophylline and its metabolites in human urine using ${beta}$-hydroxyethyl theophylline$({beta} -HET)$ as an internal standard. For extraction of urine sample, quality control sample and xanthine-free blank urine were mixed with decylamine (ion-paring reagent) and ${beta}$-HET. After saturation with ammonium sulfate, the mixture was then extracted with organic solvent at pH values of 4.0-4.5. All separations were performed with ion-pair chromatography using decylamine as an ion-pairing reagent and 3mM sodium acetate buffered mobile phase (pH 4.0) containing 1% (v/v) acetonitrile and 0.75 mM decylamine. The detection limits of theophylline, 1, 3-DMU, 1-MU, 3-MX and 1-MX in human urine were 0.17, 0.17, 0.39, 0.19 and 0.19 ${\mu}g$/ml, based on a signal-to-noise ratios of 3.0. The mean intraday coefficients of variation (C.V.s) of each compound on nine replicates were lower than 2.0%, while mean interday C.V.s on three days were lower than 1.6%. All separations were finished within 40miutes.

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Study on Hydrogen Detection Characterisctics of Sensors for realization of Transformer Diagnosis System (변압기 진단 시스템 구현을 위한 가스센서의 수소 감지특성에 관한 연구)

  • Han, Sang-Bo;Sun, Jong-Ho;Kim, Kwang-Hwa;Kang, Dong-Sik;Hwang, Dong-Ha;Yi, Sang-Hwa
    • Proceedings of the KIEE Conference
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    • 2006.07e
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    • pp.43-44
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    • 2006
  • Characteristics of hydrogen sensors for realization of transformer diagnosis system was studied, sensors used in this work are commercialized for detecting hydrocarbons or hydrogen gases. Based on the experimental results, the sensing characteristics of A company showed the high value even at the lower concentration of 20ppm, and it showed a saturation tendency with increasing it above 500ppm. In the case of B company, it showed the linear characteristics from 20ppm to 7000ppm. In addition, the output acquired from C company was amplified by external circuits due to its low output, and its adequate operation region was above 500ppm. Therefore, it is likely that these sensors are possible to apply for realization of transformer diagnosis system due to the different sensing characteristics of these sensors.

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Corrosion Image Monitoring of steel plate by using k-means clustering (k-means 클러스터링을 이용한 강판의 부식 이미지 모니터링)

  • Kim, Beomsoo;Kwon, Jaesung;Choi, Sungwoong;Noh, Jungpil;Lee, Kyunghwang;Yang, Jeonghyeon
    • Journal of the Korean institute of surface engineering
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    • v.54 no.5
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    • pp.278-284
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    • 2021
  • Corrosion of steel plate is common phenomenon which results in the gradual destruction caused by a wide variety of environments. Corrosion monitoring is the tracking of the degradation progress for a long period of time. Corrosion on steel plate appears as a discoloration and any irregularities on the surface. In this study, we developed a quantitative evaluation method of the rust formed on steel plate by using k-means clustering from the corroded area in a given image. The k-means clustering for automated corrosion detection was based on the GrabCut segmentation and Gaussian mixture model(GMM). Image color of the corroded surface at cut-edge area was analyzed quantitatively based on HSV(Hue, Saturation, Value) color space.

Time dependent numerical simulation of MFL coil sensor for metal damage detection

  • Azad, Ali;Lee, Jong-Jae;Kim, Namgyu
    • Smart Structures and Systems
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    • v.28 no.6
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    • pp.727-735
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    • 2021
  • Recently, non-destructive health monitoring methods such as magnetic flux leakage (MFL) method, have become popular due to their advantages over destructive methods. Currently, numerical study on this field has been limited to simplified studies by only obtaining MFL instead of induced voltage inside coil sensor. In this study, it was proposed to perform a novel numerical simulation of MFL's coil sensor by considering vital parameters including specimen's motion with constant velocity and saturation status of specimen in time domain. A steel-rod specimen with two stepwise cross-sectional changes (i.e., 21% and 16%) was fabricated using low carbon steel. In order to evaluate the results of numerical simulation, an experimental test was also conducted using a magnetic probe, with same size specimen and test parameters, exclusively. According to comparative results of numerical simulation and experimental test, similar signal amplitude and signal pattern were observed. Thus, proposed numerical simulation method can be used as a reliable source to check efficiency of sensor probe when different size specimens with different defects should be inspected.

Image-based Extraction of Histogram Index for Concrete Crack Analysis

  • Kim, Bubryur;Lee, Dong-Eun
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.912-919
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    • 2022
  • The study is an image-based assessment that uses image processing techniques to determine the condition of concrete with surface cracks. The preparations of the dataset include resizing and image filtering to ensure statistical homogeneity and noise reduction. The image dataset is then segmented, making it more suited for extracting important features and easier to evaluate. The image is transformed into grayscale which removes the hue and saturation but retains the luminance. To create a clean edge map, the edge detection process is utilized to extract the major edge features of the image. The Otsu method is used to minimize intraclass variation between black and white pixels. Additionally, the median filter was employed to reduce noise while keeping the borders of the image. Image processing techniques are used to enhance the significant features of the concrete image, especially the defects. In this study, the tonal zones of the histogram and its properties are used to analyze the condition of the concrete. By examining the histogram, the viewer will be able to determine the information on the image through the number of pixels associated and each tonal characteristic on a graph. The features of the five tonal zones of the histogram which implies the qualities of the concrete image may be evaluated based on the quality of the contrast, brightness, highlights, shadow spikes, or the condition of the shadow region that corresponds to the foreground.

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The Continuous Monitoring of Oxygen Saturation During Fiberoptic Bronchoscopy (기관지내시경 검사시 지속적인 동맥혈 산소포화도 감시의 필요성)

  • Kang, Hyun Jae;Kim, Yeon Jae;Chyun, Jae Hyun;Do, Yun Kyung;Lee, Byung Ki;Kim, Won Ho;Park, Jae Yong;Jung, Tae Hoon
    • Tuberculosis and Respiratory Diseases
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    • v.52 no.4
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    • pp.385-394
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    • 2002
  • Background : Flexible fiberoptic bronchoscopy(FFB) has become a widely performed technique for diagnosing and managing pulmonary disease because of its low complication and mortality rate. Since the use of FFB can in patients with severely depressed cardiorespiratory function is increasing and hypoxemia during the FFB can induce significant cardiac arrhythmias, the early detection and adequate management of hypoxemia during FFB is clinically important. Method : To evaluate the necessity of the continuous monitoring of the oxygen saturation($SaO_2$) during the FFB, the $SaO_2$ was continuously monitored from the finger tip using pulse oximetry before, during and after the FFB in 379 patient. The patients were then divided into two groups, those with and without hypoxemia($SaO_2$<90%). The baseline pulmonary function data and the clinical characteristics of the two groups were compared. Results : The mean baseline $SaO_2$ was $96.9{\pm}2.85%$. An $SaO_2$ <90% was recorded at some point in 62(16.4%) out of 379 patients, with 12 out of 62 experiencing this prior to the FFB, in 37 out of 62 during the FFB, and in 13 out of 62 after the FFB. No differences were observed in the smoking and sex distribution between those with and without hypoxemia. The mean age was older in those with hypoxemia than in those without. Significant differences were observed in the mean baseline $SaO_2$ and the mean time for the procedure between the two groups. The $FEV_1$ was significantly lower in those with hypoxemia, and both the FVC and $FEV_1/FVC$ also tended to decrease in this group. Managing hypoxemia included deep breathing in 20 patients, a supplemental oxygen supply in 39 patients, and the abortion of the procedure in 3 patients. Conclusion : These results suggest that the continuous monitoring of the oxygen saturation is necessary during fiberoptic bronchoscopy, and it should be performed in patients with a depressed pulmonay function in order for the early detection and adequate management of hypoxemia.

The Method of Wet Road Surface Condition Detection With Image Processing at Night (영상처리기반 야간 젖은 노면 판별을 위한 방법론)

  • KIM, Youngmin;BAIK, Namcheol
    • Journal of Korean Society of Transportation
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    • v.33 no.3
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    • pp.284-293
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    • 2015
  • The objective of this paper is to determine the conditions of road surface by utilizing the images collected from closed-circuit television (CCTV) cameras installed on roadside. First, a technique was examined to detect wet surfaces at nighttime. From the literature reviews, it was revealed that image processing using polarization is one of the preferred options. However, it is hard to use the polarization characteristics of road surface images at nighttime because of irregular or no light situations. In this study, we proposes a new discriminant for detecting wet and dry road surfaces using CCTV image data at night. To detect the road surface conditions with night vision, we applied the wavelet packet transform for analyzing road surface textures. Additionally, to apply the luminance feature of night CCTV images, we set the intensity histogram based on HSI(Hue Saturation Intensity) color model. With a set of 200 images taken from the field, we constructed a detection criteria hyperplane with SVM (Support Vector Machine). We conducted field tests to verify the detection ability of the wet road surfaces and obtained reliable results. The outcome of this study is also expected to be used for monitoring road surfaces to improve safety.

Burst Mode AGC Loop and Preamble Detector for VDL Mode-2 (VDL Mode-2 를 위한 버스트 모드 AGC 루프 및 프리엠블 검출기)

  • Gim, Jong-Man;Eun, Chang-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.7C
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    • pp.706-714
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    • 2009
  • In this paper, we proposed a burst mode AGC loop and preamble detector applicable for VDL(VHF Digital Link) mode-2 using D8PSK modulation scheme and the performance analysis of proposed schemes is described. Generally the AGC scheme can be divided into two types, continuos and burst mode AGC. The continuos mode is performed well only with an analog feedback AGC loop. But the analog feedback AGC loop is not suitable for burst mode since its gain lock time is more than preamble duration, which causes the preamble detector misses preamble. Hence a fast digital AGC loop is required for burst mode. Also the AGC loop has to be designed with full gain during idle time to detect bursts although the signal level is very low. If the time to acquire gain lock is slow, the preamble detector fail to detect burst due to saturation of a lot of preamble samples. The receiver performance might be down even if the burst was detected because the preamble is used to estimate several parameters need to demodulation at receiver. In this paper we analysed relationships between the AGC loop and preamble detector. we present an AGC loop and preamble detector in burst mode.