• Title/Summary/Keyword: Impact Detection

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Study on Vertical Velocity-Based Pre-Impact Fall Detection (수직속도 기반 충격전 낙상 감지에 관한 연구)

  • Lee, Jung Keun
    • Journal of Sensor Science and Technology
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    • v.23 no.4
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    • pp.251-258
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    • 2014
  • While the feasibility of vertical velocity as a threshold parameter for pre-impact fall detection has been verified, effects of sensor attachment locations and methods calculating vertical acceleration and velocity on the detection performance have not been studied yet. Regarding the vertical velocity-based pre-impact fall detection, this paper investigates detection accuracies of eight different cases depending on sensor locations (waist vs. sternum), vertical accelerations (accurate acceleration based on both accelerometer and gyroscope vs. approximated acceleration based on only accelerometer), and vertical velocities (velocity with attenuation vs. velocity difference). Test results show that the selection of waist-attached sensor, accurate acceleration, and velocity with attenuation based on accelerometer and gyroscope signals is the best in overall in terms of sensitivity and specificity of the detection as well as lead time.

Automatic Seismic P-wave Detection Algorithm Using Variations of Impact Momentum (충격 추진력 변화를 이용한 지진 P파 자동 검출 알고리즘)

  • Choi, Hun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.7
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    • pp.884-891
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    • 2018
  • In this paper, we propose an automatic earthquake P-wave detection algorithm based on the variations of the impact momentum derived from the seismic acceleration signals. The amount of change in the impact momentum induced by the acceleration refers to the influence of buildings or facilities on the earthquake, The proposed algorithm can effectively detect the seismic P-wave by simultaneously considering the amplitude and the frequency change of the seismic wave when the earthquake occurs. Computer simulations using the observed seismic signals were performed to evaluate the validity of the induced impact momentum variation and the superiority of the proposed algorithm.

Flaw Detection of the Aged Bridge on National Roadway by Impact Echo Testing (충격반향기법을 이용한 국도상 노후교량의 결함검사)

  • 유재열;김기봉;정영수;조성호
    • Proceedings of the Korea Concrete Institute Conference
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    • 1998.10b
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    • pp.743-748
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    • 1998
  • As nation's infrastructure is getting old, nondestructive evaluation of existing structures and construction quality control are getting important. In this thesis, flaw detection techniques of concrete members with asphalt using impact echo test were introduced. This techniques are based on stress wave propagation. In this field impact echo test, As load is gradually increased, frequency is increased. From this change of frequency through impact echo test, we can detect that the crack of bridge ascends and what the depth of crack is.

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The Development of Flaw Detection in Concrete by the Impact-Echo Testing Method (충격탄성파법을 이용한 콘크리트 내부의 결함탐상 기술개발)

  • 박선균;임창덕
    • Proceedings of the Korea Concrete Institute Conference
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    • 1991.04a
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    • pp.105-110
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    • 1991
  • The conventional high-frequency testing method is difficult to detect flaw in concrete because the high frequency stress wave is strongly attenuated due to the large grain size and heterogeneous structure. For restoration of this problem, we develop the stu요 of flaw detection in large concrete block containing various artificial flaws by low frequency spectrum anlysis of impact-echo waveforms. This impact-echo testing method is possible to determine the flaw size, shape and location in large concrete block even if required some attention in case of containing reinforcing steel bar.

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Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks

  • Mahzan, Shahruddin;Staszewski, Wieslaw J.;Worden, Keith
    • Smart Structures and Systems
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    • v.6 no.2
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    • pp.147-165
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    • 2010
  • Impact damage detection in composite structures has gained a considerable interest in many engineering areas. The capability to detect damage at the early stages reduces any risk of catastrophic failure. This paper compares two advanced signal processing methods for impact location in composite aircraft structures. The first method is based on a modified triangulation procedure and Genetic Algorithms whereas the second technique applies Artificial Neural Networks. A series of impacts is performed experimentally on a composite aircraft wing-box structure instrumented with low-profile, bonded piezoceramic sensors. The strain data are used for learning in the Neural Network approach. The triangulation procedure utilises the same data to establish impact velocities for various angles of strain wave propagation. The study demonstrates that both approaches are capable of good impact location estimates in this complex structure.

Fault Detection Method for Ceramic Cup by Pseudo Reverberation Time Based on Output Data by Impact Test (충격 시험의 출력 데이터에 기초한 유사잔향 시간을 이용한 도자기의 결함 탐지법)

  • Park Seok-Tae
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.6
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    • pp.257-268
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    • 2006
  • To determine the faults of ceramic cup it is proposed to use pseudo reverberation time concept estimated by impact test in room. Schroeder curves estimated from impact test for a cup with small crack and without one are utilized to estimate pseudo reverberation time. Pseudo reverberation times are compared and discussed according to a sort of impact hammers and impact points and also boundary conditions. As a result. proposed method is proved to be very useful to detect the existence of faults for candidate cups.

A Probabilistic Sampling Method for Efficient Flow-based Analysis

  • Jadidi, Zahra;Muthukkumarasamy, Vallipuram;Sithirasenan, Elankayer;Singh, Kalvinder
    • Journal of Communications and Networks
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    • v.18 no.5
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    • pp.818-825
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    • 2016
  • Network management and anomaly detection are challenges in high-speed networks due to the high volume of packets that has to be analysed. Flow-based analysis is a scalable method which reduces the high volume of network traffic by dividing it into flows. As sampling methods are extensively used in flow generators such as NetFlow, the impact of sampling on the performance of flow-based analysis needs to be investigated. Monitoring using sampled traffic is a well-studied research area, however, the impact of sampling on flow-based anomaly detection is a poorly researched area. This paper investigates flow sampling methods and shows that these methods have negative impact on flow-based anomaly detection. Therefore, we propose an efficient probabilistic flow sampling method that can preserve flow traffic distribution. The proposed sampling method takes into account two flow features: Destination IP address and octet. The destination IP addresses are sampled based on the number of received bytes. Our method provides efficient sampled traffic which has the required traffic features for both flow-based anomaly detection and monitoring. The proposed sampling method is evaluated using a number of generated flow-based datasets. The results show improvement in preserved malicious flows.

Fatigue Damage Detection and Vibration Sensing Using Intensity-Based Optical Fiber Sensors (광강도형 광섬유센서를 이용한 피로손상 및 진동감지)

  • 양유창;전호찬;한경섭
    • Composites Research
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    • v.13 no.1
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    • pp.89-97
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    • 2000
  • Fatigue damage detection and vibration sensing for a laminated composites and impact location detection for a steel beam have been carried out using optical fiber sensor. Intensity based optical fiber sensor is constructed by placing two cleaved fiber end in a hollow glass tube, and multiple reflection within the cavity is considered. Fatigue signals are measured by embedded optical fiber, surface mounted optical fiber sensor and strain gage simultaneously. For vibration sensing, optical fiber sensor is mounted on the carbon fiber composite beam and its response to free vibration and forced vibration is investigated. In impact location detection, two optical fiber sensors are used and the information obtained from two sensors is arrival time delay of vibration caused by impact. Impact location can be calculated from this time delay. The obtained results show that the intensity based optical fiber sensor provide reliable data during long-term fatigue loading, unlike strain gage which deteriorate during the early part of the fatigue test. Optical fiber sensor signals coincide with gap sensor in vibration sensing. The precise locations of impact can be detected within 4.1% error limit.

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TUBERCULOSIS TRANSMISSION MODEL WITH CASE DETECTION AND TREATMENT

  • Bhunu, C.P.;Mushayabasa, S.;Magombedze, G.;Roeger, L.I.
    • Journal of applied mathematics & informatics
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    • v.29 no.3_4
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    • pp.529-546
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    • 2011
  • A deterministic tuberculosis model for theoretically assessing the potential impact of the combined effects of case detection in the presence of treatment is formulated. The qualitative features of its equilibria are analyzed and it is found that the disease-free equilibrium may not be globally asymptotically stable when the reproduction number is less than unity. This disease threshold number is further used to assess the impact of active TB case finding alone and in conjunction with treatment. A critical threshold parameter ${\Theta}$ say for which case detection will have a positive impact is derived. Using the Centre Manifold theory, the model may exhibit the phenomenon of backward bifurcation (coexistence of a locally stable endemic equilibrium with a stable disease-free equilibrium) when the reproduction number is less than unity. It is shown that the possibility of backward bifurcation occurring decreases with increase case detection. Graphical representations suggest that increase in case finding accompanied by treatment of detected TB cases, result in a marked decrease of TB cases (both latent and active TB).

Non-contact Impact-Echo Based Detection of Damages in Concrete Slabs Using Low Cost Air Pressure Sensors (저비용 음압센서를 이용한 콘크리트 구조물에서의 비접촉 Impact-Echo 기반 손상 탐지)

  • Kim, Jeong-Su;Lee, Chang Joon;Shin, Sung Woo
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.15 no.3
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    • pp.171-177
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    • 2011
  • The feasibility of using low cost, unpowered, unshielded dynamic microphones is investigated for cost effective contactless sensing of impact-echo signals in concrete structures. Impact-echo tests on a delaminated concrete slab specimen were conducted and the results were used to assess the damage detection capability of the low cost system. Results showed that the dynamic microphone successfully captured impact-echo signals with a contactless manner and the delaminations in concrete structures were clearly detected as good as expensive high-end air pressure sensor based non-contact impact-echo testing.