• Title/Summary/Keyword: overload detecting

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An Overload Detecting Method for an Excavator Based on the Correlation Function (상관함수 기반 굴삭기용 과부하 검출 기법)

  • Yu, Chang-Ho;Ko, Nam-Kon;Choi, Jae-Weon;Seo, Young-Bong
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.7
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    • pp.703-710
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    • 2010
  • In this paper, an overload detecting algorithm for an excavator is presented. The proposed overload detecting algorithm is based on the time series analysis especially correlation function. The main purpose of this paper is to prevent damage or crack from the fatigue loaded on an excavator in advance. Generally, the larger data, the longer processing time, and the amount of the data used in this paper are also large, especially every sampling period, 1600 data are gathered and calculated. So this paper focuses on minimizing the number of required sensors by using the correlation function. From the cross correlation function, similar pattern sensors are eliminated and dissimilar pattern sensors are considered, and from the auto correlation function, the overload can be detected. To prove the efficiency of the proposed overload detecting algorithm, this paper shows the computer simulation results.

Moving Window Based Overload Detection Algorithm for Excavator (Moving Window 기반 굴삭기용 과부하 검출 알고리즘)

  • Yu, Chang-Ho;Choi, Jae-Weon;Seo, Young-Bong
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.909-914
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    • 2007
  • In this paper, an overload detecting algorithm for an excavator is presented. The proposed overload detecting algorithm is based on the time series analysis especially moving window. The main purpose of this paper is to prevent a damage or crack from the fatigue in advance. 16 channel sensors data are considered and maximum stress is computed by a sensor fusion method every moving window. After the maximum stress every window is compared with a given threshold, this overload detecting algorithm decides overload or not.

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A Study on the Development of Overload Detecting Pad for Low Speed WIM System (저속 WIM 시스템용 과적검지 패드 개발에 관한 연구)

  • Lee, Choon-Man;Choi, Young-Ho;Kim, Eun-Jung
    • Journal of the Korean Society for Precision Engineering
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    • v.34 no.3
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    • pp.179-184
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    • 2017
  • Recently, traffic accidents and damage on the highway have increased because of overloaded vehicles. The existing overload-detecting system has a low accuracy rate. An overload-detecting system using a weigh-in-motion (WIM) system has been developed to solve this problem. The WIM system can be used to detect overloaded vehicles by measuring the weight of the vehicles. The WIM system is divided into high-speed and low-speed types. The inaccuracy rate in the low-speed WIM system results mainly from the low response rate of the sensor when the velocity is moving at more than 20 km/h. In this study, a low-speed overload-detecting pad with a hydraulic structure using a WIM system was developed to make the system more accurate. The structural and formal analysis was carried out by using a finite element method (FEM) in order to analyze the structural stability and the extrusion velocity of the system. In addition, a static load test was performed to confirm the linearity and accuracy of the pad.

The Implementation of the system-on-board controllable the electrical fires due to ground fault, arc fault and overload (누전, 아크, 과부하에 의한 전기화재 제어 시스템 보드의 구현)

  • Kim, Byung-Cheul;Chun, Joong-Chang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.2
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    • pp.419-424
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    • 2011
  • The system-on-board detectable and controllable the electrical fires due to ground fault(GF), arc fault and overload is implemented. The system IC for controlling and preventing the electrical fires is available to this system. The GF detection circuit for detecting the electrical leakage current, the arc fault detection circuit and the overload detection circuit controllable the input voltage for flowing the overload current are designed. The GF detection circuit and the arc fault detection circuit are good operated to the electrical leakage current and the arc signal, respectively. It is confirmed that the overload detection circuit has shown no erratic operation with the noise or the load variation and is only operated at the overload condition.

Development of a PVDF sensor for detecting over-load and impact on large-scale mechanical structures (대형 기계 구조물의 과부하 및 충격 측정을 위한 PVDF 센서 개발)

  • Kang, Dong-Bae;Ahn, Jung-Hwan;Kim, Gang-Yeon;Son, Seong-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.11
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    • pp.6399-6405
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    • 2014
  • An external overload or impact is an important factor affecting the safety of large-scale structures. The proposal of this paper is the development of a system for detecting overload and impulse using a single PVDF film sensor. In large-scale structures, the load causes the structure to be deformed and the impulse generates vibration on the structure. Generally, low frequency deformation or bending of a structure is measured with a strain gauge and the high frequency vibration is detected by an accelerometer. On the other hand, a single sensor that can detect both deformation and vibration has not been developed. In this study, the development of a detection system integrated with a polyvinylidene fluoride (PVDF) film sensor, amplifier, and software was attempted to monitor deformation and impact through a single sensor. The system was verified by the possibility of detecting overload and impulse, and the two filtered signals of the PVDF were compared with a conventional strain gauge and an accelerometer.

A Study for Smart Overload Vehicle Regulation System (지능형 과적단속을 위한 시스템 구축 연구)

  • Jo, Byung-Wan;Yoon, Kwang-Won;Park, Jung-Hoon;Choi, Ji-Sun
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.24 no.4
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    • pp.399-404
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    • 2011
  • Overload vehicles have demoralizing influence upon the social overhead capital, economics of nation, traffic flow and road safe as various components. Accordingly, this study established a ubiquitous sensor network system to develop an intelligent regulation system to monitor overloaded vehicles in motion. and Unlike WIM, after detecting the axle of driving vehicles by measuring deformation of roads, this system calculates the weights of vehicles by using signals from the strain sensors installed under the road and an analysis method. Also the study conducted an simulation test for vehicle load analysis using genetic algorithm. and tested wireless sensor for USN system.

Element loss analysis of concentrically braced frames considering structural performance criteria

  • Rezvani, Farshad Hashemi;Asgarian, Behrouz
    • Steel and Composite Structures
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    • v.12 no.3
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    • pp.231-248
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    • 2012
  • This research aims to investigate the structural behavior of concentrically braced frames after element loss by performing nonlinear static and dynamic analyses such as Time History Analysis (THA), Pushdown Analysis (PDA), Vertical Incremental Dynamic Analyses (VIDA) and Performance-Based Analysis (PBA). Such analyses are to assess the potential and capacity of this structural system for occurrence of progressive collapse. Besides, by determining the Failure Overload Factors (FOFs) and associated failure modes, it is possible to relate the results of various types of analysis in order to save the analysis time and effort. Analysis results showed that while VIDA and PBA according to FEMA 356 are mostly similar in detecting failure mode and FOFs, the Pushdown Overload Factors (PDOFs) differ from others at most to the rate of 23%. Furthermore, by sensitivity analysis it was observed that among the investigated structures, the eight-story frame had the most FOF. Finally, in this research the trend of FOF and the FOF to critical member capacity ratio for the plane split-X braced frames were introduced as a function of the number of frame stories.

Association between Transfusion-Related Iron Overload and Liver Fibrosis in Survivors of Pediatric Leukemia: A Cross-Sectional Study

  • Mahsa Sobhani;Naser Honar;Mohammadreza Fattahi;Sezaneh Haghpanah;Nader Shakibazad;Mohammadreza Bordbar
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.27 no.4
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    • pp.215-223
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    • 2024
  • Purpose: Patients who receive frequent blood transfusions are at an elevated risk of developing hepatic fibrosis due to iron overload in the liver. In this study, we evaluated the effectiveness of transient elastography (TE) (FibroScan®) for assessing liver fibrosis in patients with pediatric cancer. Methods: We enrolled 106 consecutive cases of acute leukemia in individuals under 21 years of age. The participants were followed for 2 years. Based on their serum ferritin (SF) levels, the patients were divided into two groups: group 1 (SF≥300 ng/mL) and group 2 (SF<300 ng/mL). A liver FibroScan® was performed, and a p-value of less than 0.05 was considered statistically significant. Results: Among the various parameters in the liver function test (LFT), alkaline phosphatase was significantly higher in a subgroup of patients aged 5-8 years in group 2 compared to those in group 1. The indices of liver fibrosis determined by TE, including the FibroScan score, controlled attenuation parameter score, steatosis percentage, and meta-analysis of histological data in viral hepatitis score, as well as indirect serum markers of liver fibrosis such as the aminotransferase (AST)/alanine aminotransferase (ALT) ratio, Fibrosis 4 score, and AST to platelet ratio index, did not differ significantly between the two groups. The association between the TE results and LFT parameters was only significant for ALT. Conclusion: Transfusion-associated iron overload does not have a significant correlation with severe liver fibrosis. FibroScan® is not a sensitive tool for detecting early stages of fibrosis in survivors of pediatric leukemia.

Labor Vulnerability Assessment through Electroencephalogram Monitoring: a Bispectrum Time-frequency Analysis Approach

  • CHEN, Jiayu;Lin, Zhenghang
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.179-182
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    • 2015
  • Detecting and assessing human-related risks is critical to improve the on-site safety condition and reduce the loss in lives, time and budget for construction industry. Recent research in neural science and psychology suggest inattentional blindness that caused by overload in working memory is the major cause of unexpected human related accidents. Due to the limitation of human mental workload, laborers are vulnerable to unexpected hazards while focusing on complicated and dangerous construction tasks. Therefore, detecting the risk perception abilities of workers could help to identify vulnerable individuals and reduce unexpected injuries. However, there are no available measurement approaches or devices capable of monitoring construction workers' mental conditions. The research proposed in this paper aims to develop such a measurement framework to evaluate hazards through monitoring electroencephalogram of labors. The research team developed a wearable safety monitoring helmet, which can collect the brain waves of users for analysis. A bispectrum approach has been developed in this paper to enrich the data source and improve accuracy.

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Intrusion Detection for Black Hole and Gray Hole in MANETs

  • She, Chundong;Yi, Ping;Wang, Junfeng;Yang, Hongshen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.7
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    • pp.1721-1736
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    • 2013
  • Black and gray hole attack is one kind of routing disturbing attacks and can bring great damage to the network. As a result, an efficient algorithm to detect black and gray attack is important. This paper demonstrate an adaptive approach to detecting black and gray hole attacks in ad hoc network based on a cross layer design. In network layer, we proposed a path-based method to overhear the next hop's action. This scheme does not send out extra control packets and saves the system resources of the detecting node. In MAC layer, a collision rate reporting system is established to estimate dynamic detecting threshold so as to lower the false positive rate under high network overload. We choose DSR protocol to test our algorithm and ns-2 as our simulation tool. Our experiment result verifies our theory: the average detection rate is above 90% and the false positive rate is below 10%. Moreover, the adaptive threshold strategy contributes to decrease the false positive rate.