Search results for: DAMAGE DETECTION AND LOCALIZATION - Bridge of Knowledge

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Search results for: DAMAGE DETECTION AND LOCALIZATION

  • Comparison of different one-parameter damage laws and local stress-strain approaches in multiaxial fatigue life assessment of notched components

    Publication
    • R. Branco
    • J. D. Costa
    • L. Borrego
    • F. Berto
    • S. M. N. Razavi
    • W. Macek

    - INTERNATIONAL JOURNAL OF FATIGUE - Year 2021

    This paper aims to compare the predictive capabilities of different one-parameter damage laws and local stress-strain approaches to assess the fatigue lifetime in notched components subjected to proportional bending-torsion loading. The tested fatigue damage parameters are defined using well-known stress-based, strain-based, SWT-based and energy-based relationships. Multiaxial cyclic plasticity at the notch-controlled process zone...

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  • Guided wave propagation in debonding detection in CFRP-reinforced steel plate-like structures

    Publication

    - OCEAN ENGINEERING - Year 2024

    The present study investigates the guided wave propagation in multilayered steel specimens reinforced with carbon fiber reinforced polymer (CFRP) through theoretical, numerical, and experimental means. The effectiveness of externally bonded reinforcement (EBR) relies heavily on the bonding quality between the CFRP and the substrate. Premature debonding, a prevalent and hazardous defect, can arise from suboptimal manufacturing processes,...

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  • Image Segmentation of MRI image for Brain Tumor Detection

    Publication

    - Year 2020

    this research work presents a new technique for brain tumor detection by the combination of Watershed algorithm with Fuzzy K-means and Fuzzy C-means (KIFCM) clustering. The MATLAB based proposed simulation model is used to improve the computational simplicity, noise sensitivities, and accuracy rate of segmentation, detection and extraction from MR...

  • Detection of Water on Road Surface with Acoustic Vector Sensor

    Publication

    - SENSORS - Year 2023

    This paper presents a new approach to detecting the presence of water on a road surface, employing an acoustic vector sensor. The proposed method is based on sound intensity analysis in the frequency domain. Acoustic events, representing road vehicles, are detected in the sound intensity signals. The direction of the incoming sound is calculated for the individual spectral components of the intensity signal, and the components...

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  • An Approach to the Detection of Bank Robbery Acts Employing Thermal Image Analysis

    Publication

    - Year 2013

    A novel approach to the detection of selected security-related events in bank monitoring systems is presented. Thermal camera images are used for the detection of people in difficult lighting conditions. Next, the algorithm analyses movement of objects detected in thermal or standard monitoring cameras using a method evolved from the motion history images algorithm. At the same time, thermal images are analyzed in order to detect...

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  • Probing Radiation Damage at the Molecular Level

    Publication
    • N. Mason
    • M. Smialek
    • S. Moore
    • M. Folkard
    • S. Hoffmann

    - Year 2006

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  • Hypertension, Brain Damage and Cognitive Decline

    Publication

    - CURRENT HYPERTENSION REPORTS - Year 2013

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  • Isotropic damage in viscoplastic flow conditions

    Publication

    - Year 2007

    Mechanika zniszczenia jest obecnie jedną z ważniejszych gałęzi mechaniki ciał stałych. Jest cały czas rozwijającą się dziedziną nauki, która znalazła swoje zastosowania w problemach inżynierskich. W artykule zaprezentowano podstawowe informacje na temat lepkoplastyczności i jej zastosowania, koncepcję mechanicznej reprezentacji zniszczenia przez zmienną D, koncepcję naprężeń efektywnych, równania opisujące zniszczenie oraz lepkoplastyczny...

  • Early models of DNA damage formation

    Przeanalizowano jedne z pierwszych modeli opisujących uszkodzenia nici DNA. Przeanalizowano uszkodzenia powstające w pojedynczych i podwójnych niciach, pod wpływem czynników fizycznych i chemicznych.

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  • Simulation and identification of damage in bar structures.

    Publication

    - Year 2003

    Praca zawiera opis i testy 3 procedur badawczych dotyczących lokalizacjizniszczeń w konstrukcjach. Procedury bazują na danych modalnych jakie obiektgeneruje podczas swoich drgań tzn. częstościach własnych i postaciach drgań Badane są zmiany podatności układu, zmiany krzywizn postaci drgań i wrażli-wość częstości na założone zniszczenia. Odpowiednie procedury wiążące się ztymi trzema metodami są przestestowane na przykładzie wspornika...

  • Damage repair of the double shell tank

    Publication

    - Year 2003

    Płaszcz wewnętrzny stalowego zbiornika dwupłaszczowego o pojemności 10000 m3 został zdeformowany w wyniku błędu popełnionego podczas próby wodnej przy odbiorze zbiornika. W referacie omówiono technologię naprawy silnie zdeformowanego płaszcza zbiornika. Stosowano roztłaczanie hydrauliczne, prostowanie mechaniczne i termiczne oraz wymianę najbardziej uszkodzonych blach.

  • Improved calculation of damage due creep by more accurate time to rupture data representation

    Publication

    - Year 2006

    Reguła Robinsona (Linear Life Fraction Damage Rule) jest stosunkowo łatwa w użyciu dla różnorodnych warunków obciążenia. Z tego powodu jest ona powszechnie akceptowana i używana. Potencjalne możliwości poprawy dokładności obliczeń tą metodą daje zastosowanie specjalnych funkcji do aproksymacji wyników badań wytrzymałości czasowej. W pracy zaproponowano zastosowanie funkcji typu Spline oraz bardzo elastycznej funkcji Spline3D do...

  • Localization of ferromagnetic objects via magnetometric method near equator

    Publication

    - Year 2006

    Istnieje wiele metod wykrywania ukrytych w ziemi obiektów. Metody te można podzielić na pasywne i aktywne. Do metod pasywnych należy metoda magnetometryczna. Obiekt ferromagnetyczny zaburza w swoim otoczeniu równomierność pola magnetycznego. Korzystając z metody magnetometrycznej można to zaburzenie zmierzyć i wykryć obiekt. W pracy przedstawiono nową metodę lokalizacji obiektów ferromagnetycznych metodą magnetometryczną znajdujących...

  • Identification and localization of organic coating degradation onset by impedance imaging

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  • Implementation of localization and identification of ferromagnetic objects algorithm in labview enviroment

    The problem with detecting dangerous objects is still a matter of concern today. One of the methods of detecting dangerous objects is the magnetic method. While measuring a magnetic field in the surrounding of objects with ferromagnetic properties, it is possible to detect, localize and identify such object.

  • Comparative modeling of shear localization in granular bodies with FEM and DEM

    Publication

    The intention of the paper is to compare the calculations of shear zones in granular bodies using two different approaches: a continuum and a discrete one. In the first case, the FEM based on a micro-polar hypoplastic constitutive law was used. In the second case, the DEM was taken advantage of, where contact moments were taken into account to model grain roughness. The comparative calculations were performed for a passive case...

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  • Comparison of Acoustic and Visual Voice Activity Detection for Noisy Speech Recognition

    Publication

    The problem of accurate differentiating between the speaker utterance and the noise parts in a speech signal is considered. The influence of utilizing a voice activity detection in speech signals on the accuracy of the automatic speech recognition (ASR) system is presented. The examined methods of voice activity detection are based on acoustic and visual modalities. The problem of detecting the voice activity in clean and noisy...

  • Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System

    Monitoring plays an important role in advanced control of complex dynamic systems. Precise information about system's behaviour, including faults detection, enables efficient control. Proposed method- Kernel Principal Component Analysis (KPCA), a representative of machine learning, skilfully takes full advantage of the well known PCA method and extends its application to nonlinear case. The paper explains the general idea of KPCA...

  • On the use of uniaxial one-parameter damage laws for estimating fatigue life under multiaxial loading

    Publication
    • R. Branco
    • J. D. Costa
    • L. Borrego
    • Z. Marciniak
    • W. Macek
    • F. Berto

    - Procedia Structural Integrity - Year 2024

    The goal of this paper is to evaluate the capabilities of different one-parameter fatigue laws to estimate crack initiation in notched components under multiaxial loading. Fatigue damage is accounted for through stress-based, strain-based, and energy-based approaches while the cyclic plasticity at the notch-controlled process zone is estimated using linear-elastic simulations. The results show that energy-based formulations established...

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  • Enhanced method of DS-CDMA low level singnals detection

    Publication

    The following article comprises three main parts. The first one generally describes two methods of low level signals detection which are in the interest of this study. The signal spectrum averaging technique is shown as well as the method exploiting averaged spectrum of the signal raised to the power of 2n (nN). Additionally, this section briefly presents proposed enhancements and modifications of these two solutions, which allow...

  • Detection of Closing Crack in Beam Based on Responses Induced by Harmonic Excitation

    Publication

    The non-linear contact model was chosen to simulate the closed crack in the cantilever beam. The study examines the shape and characteristics of the phase diagram of a cantilever beam with closed cracks. It investigates how various crack properties influence the geometry of the phase diagram and proposes a method for identifying cracks based on their features. The area of each closed curve in the phase diagram is determined using...

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  • Multiscaled Hybrid Features Generation for AdaBoost Object Detection

    This work presents the multiscaled version of modified census features in graphical objects detection with AdaBoost cascade training algorithm. Several experiments with face detector training process demonstrate better performance of such features over ordinal census and Haar-like approaches. The possibilities to join multiscaled census and Haar features in single hybrid cascade of strong classifiers are also elaborated and tested....

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  • Detection of moving objects in images combined from video and thermal cameras

    Publication

    - Year 2013

    An algorithm for detection of moving objects in video streams from the monitoring cameras is presented. A system composed of a standard video camera and a thermal camera, mounted in close proximity to each other, is used for object detection. First, a background subtraction is performed in both video streams separately, using the popular Gaussian Mixture Models method. For the next processing stage, the authors propose an algorithm...

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  • Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech

    Publication
    • D. Korzekwa
    • R. Barra-Chicote
    • B. Kostek
    • T. Drugman
    • M. Łajszczak

    - Year 2019

    We present a novel deep learning model for the detection and reconstruction of dysarthric speech. We train the model with a multi-task learning technique to jointly solve dysarthria detection and speech reconstruction tasks. The model key feature is a low-dimensional latent space that is meant to encode the properties of dysarthric speech. It is commonly believed that neural networks are black boxes that solve problems but do not...

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  • Smart city and fire detection using thermal imaging

    Publication

    In this paper, we summarize the results obtained from fire experiments. The aim of the work was to develop new methods of fire detection using IR thermal imaging cameras and dedicated image processing. We conducted 4 experiments in different configurations and with the use of different objects. The conducted experiments have shown the great usefulness of infrared cameras for detecting the seeds of a fire. Even cheap low-resolution...

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  • Small rov to detection and identification of dangerous underwater objects

    Publication

    - Year 2011

    A small unmanned underwater vehicle (UUV) to inspection of an undersea space is presented in the paper. Its behavior is controlled by a trained pilot. Correct detection and identification of targets depends on vehicle'sprecise displacement along a predefined route. Nowadays, the UUVs are equipped with an automatic control system to execute some basic maneuvers without constant human interventions. Hence, in the paper, an autopilot...

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  • Fault detection in the marine engine using a support vector data description method

    Publication

    - Journal of Marine Engineering and Technology - Year 2024

    Fast detection and correct diagnosis of any engine condition changes are essential elements of safety andenvironmental protection. Many diagnostic algorithms significantly improve the detection of malfunctions.Studies on diagnostic methods are rarely reported and even less implemented in the marine engine industry.To fill this gap, this paper presents the Support Vector Data Description (SVDD) method as applied to thefault detection...

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  • Loudness Scaling Tests in Hearing Problems Detection

    Publication

    The number of people using portable audio players has increased significantly over the recent years. This implies the rise in the number of people having hearing loss problems. Therefore, there is a need to find appropriate procedures that simplify the process of the hearing problem detection. Investigations performed show that audiometric tests may not be sufficient to assess hearing in young people. Contrarily, the obtained results...

  • Experimental test of nonclassicality with arbitrarily low detection efficiency

    Publication

    - PHYSICAL REVIEW A - Year 2020

    We theoretically introduce and experimentally demonstrate the realization of a nonclassicality test that allows for arbitrarily low detection efficiency without invoking an extra assumption of independence of the devices. Our test and its implementation is set in a prepare-and-measure scenario with an upper limit on the classical communication capacity of the channel through which the systems are communicated. The essence for our...

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  • Feasibility study of a Raman spectroscopic route to drug detection

    Publication

    - Year 2017

    We present an surface-enhanced Raman spectroscopy (SERS) approach for detection of drugs of abuse in whole human blood. We utilize a near infrared laser with 830 nm excitation wavelength in order to reduce the influence of fluorescence on the spectra of blood. However, regular plasmon resonance peak of plasmonic nanoparticles, such as silver or gold fall in a much lower wavelength regime about 400 nm. Therefore, we have shifted...

  • Commercial systems for automatic detection of events. Features, limitations and potential solutions

    Publication

    - Year 2009

    Video Content Analysis (VCA). Motion detection. Example of complex VCA system. Commercial VCA systems and their applications. Limitations and problems. Possible solutions.

  • Algorithms of chemicals detection using raman spectra

    Raman spectrometers are devices which enable fast and non-contact identification of examined chemicals. These devices utilize the Raman phenomenon to identify unknown and often illicit chemicals (e.g. drugs, explosives)without the necessity of their preparation. Now, Raman devices can be portable and therefore can be more widely used to improve security at public places. Unfortunately, Raman spectra measurements is a challenge...

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  • The use of machine learning for face regions detection in thermograms

    Publication

    - Year 2022

    The aim of this study is to analyse the methods of detecting characteristic points of the face in thermographic images. As part of the implementation an extensive analysis of scientific publications covering similar issues both for the analysis of images made in visible light and thermographic images was carried out. On the basis of this analysis, 3 models were selected and then they were implemented and tested on the basis of...

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  • Overhead wires detection by FPGA real-time image processing

    Publication

    The paper presents design and hardware implementation of real-time image filtering for overhead wires detection divided on image processing and results presentation blocks. The image processing block was separated from the whole implementation, and its delay and hardware complexity was analysed. Also the maximum frequency of image processing of the proposed implementation was estimated.

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  • Bees Detection on Images: Study of Different Color Models for Neural Networks

    Publication

    This paper presents an approach to bee detection in video streams using a neural network classifier. We describe the motivation for our research and the methodology of data acquisition. The main contribution to this work is a comparison of different color models used as an input format for a feedforward convolutional architecture applied to bee detection. The detection process has is based on a neural binary classifier that classifies...

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  • The effectivness of fault detection in common rail injectors examination methods

    The article presents the effectiveness tests of fault detection in common rail injectors. 40 injectors with different wear levels were tested. Testing was made on two test benches of a completely different design. Research includes comparison of accuracy, reproducibility and testability to detect specific defects. A device was created for visualization of the fuel injector spraying steam.

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  • Application of acoustic emission for detection of fatigue microdemage in main and crank bearings for diesel engines

    Publication

    The article presents reasons for applying the acoustic emission (AE) to detect fatigue microdamage in main bearings and crank bearings of ship main engines. Problem of determination of the fatigue life for slide bearing bushes was characterized in general. There were demonstrated properties of the objects of research, which were bushings made of the MB58 alloy, as well as an overall description of the research. It was shown that...

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  • Real-time PCR approach in dermatophyte detection and Trichophyton rubrum identification

    Publication

    - Acta Biochimica Polonica - Year 2015

    Dermatophytes are keratinophilic molds that infect human hair, nails and skin. Diagnosis of dermatophytosis is based on morphological, serological and biochemical features. However, identification is difficult and laborious due to similarities between microorganisms. Thus, there is considerable interest to develop mycological diagnostic procedures based on molecular biology methods. In this study, fast, two-step DNA extraction...

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  • Hierarchical 2-step neural-based LEGO bricks detection and labeling

    Publication

    - Year 2021

    LEGO bricks are extremely popular and allow the creation of almost any type of construction due to multiple shapes available. LEGO building requires however proper brick arrangement, usually done by shape. With over 3700 different LEGO parts this can be troublesome. In this paper, we propose a solution for object detection and annotation on images. The solution is designed as a part of an automated LEGO bricks arrangement. The...

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  • Naval mine detection system based of FPGA circuit

    Electrochemical processes take place in a metal object immersed into sea water even if an anticorrosive coating is applied [1]. As a result, flowing field appears around the object. There are naval mines between many other objects situated in the sea. Naval mines can be put in the seabed in order to be more difficult to detect by sonars. Such a mine is located on the line demarking two environments of different electrical conductivity....

  • Automatic detection and correction of detuned singing system for use with query-by-humming applications

    Publication

    - Year 2008

    The aim of the paper is to present an idea of using the automatic detection and correction of detuned singing as a subsystem in query-by-humming (QBH) applications. The common approach to searching for a requested song basing on the melody retrieved from hummed pattern usually employs the so-called Parsons code or melody contour. In such a case information about sound pitch is discarded. It was thought out that an additional module...

  • Application of method of differential magnetometric system for detection of sunken objects

    This paper presents a magnetometric system with scalar sensors mounted on two independent platforms, which is used to detect sunken shipwrecks. Increasing the distance between the sensors allows for more precise measurement of the difference in the magnetic induction module than in the case of sensors mounted e.g. on the aeroplane’s wings. This type of system makes it possible to enlarge detection range of the sunken wrecks.

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  • Stress Detection of Children With ASD Using Physiological Signals

    Publication
    • S. N. B. Aktas
    • P. Uluer
    • B. Coskun
    • E. Toprak
    • D. E. Barkana
    • H. Kose
    • T. Zorcec
    • B. Robins
    • A. Landowska

    - Year 2022

    This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot inter- vention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect...

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  • Resolving conflicts in object tracking for automatic detection of events in video

    An algorithm for resolving conflicts in tracking of moving objects is presented. The proposed approach utilizes predicted states calculated by Kalman filters for estimation of trackers position, then it uses color and texture descriptors in order to match moving objects with trackers. Problematic situations, such as splitting objects, are addressed. Test results are presented and discussed. The algorithm may be used in the system...

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  • Automatic detection and correction of detuned singing system for use with query-by-humming applications

    Publication

    The aim of the paper is to present an idea of using the automatic detection and correction of detuned singing as a subsystem in query-by-humming (QBH) applications. The common approach to searching for a requested song basing on the melody retrieved from hummed pattern usually employs the so-called Parsons code or melody contour. In such a case information about sound pitch is discarded. It was thought out that an additional module...

    Full text to download in external service

  • Labeler-hot Detection of EEG Epileptic Transients

    Publication

    - Year 2019

    Preventing early progression of epilepsy and sothe severity of seizures requires effective diagnosis. Epileptictransients indicate the ability to develop seizures but humansoverlook such brief events in an electroencephalogram (EEG)what compromises patient treatment. Traditionally, trainingof the EEG event detection algorithms has relied on groundtruth labels, obtained from the consensus...

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  • Face with Mask Detection in Thermal Images Using Deep Neural Networks

    Publication

    As the interest in facial detection grows, especially during a pandemic, solutions are sought that will be effective and bring more benefits. This is the case with the use of thermal imaging, which is resistant to environmental factors and makes it possible, for example, to determine the temperature based on the detected face, which brings new perspectives and opportunities to use such an approach for health control purposes. The...

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  • Optical fiber aptasensor for label-free bacteria detection in small volumes

    Publication

    - SENSORS AND ACTUATORS B-CHEMICAL - Year 2021

    Highly sensitive devices for fast bacteria detection are sought to be developed with the task of quantifying the worldwide problem of pathogenic bacteria and thus helping to take control over spreading bacterial infections. This work concerns a sensing solution based on microcavity in-line Mach-Zehnder interferometer (μIMZI) induced in an optical fiber. Such a device exhibits ultrahigh sensitivity to refractive index changes...

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  • A Simple Neural Network for Collision Detection of Collaborative Robots

    Publication

    Due to the epidemic threat, more and more companies decide to automate their production lines. Given the lack of adequate security or space, in most cases, such companies cannot use classic production robots. The solution to this problem is the use of collaborative robots (cobots). However, the required equipment (force sensors) or alternative methods of detecting a threat to humans are usually quite expensive. The article presents...

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  • Highly Dissipative Materials for Damage Protection against Earthquake-Induced Structural Pounding

    Publication

    - Materials - Year 2021

    It is a common situation that seismic excitations may lead to collisions between adjacent civil engineering structures. This phenomenon, called earthquake-induced structural pounding, may result in serious damage or even the total collapse of the colliding structures. Filling the gap between two buildings erected close to one another by using visco-elastic materials can be considered to be one of the most effective methods to avoid...

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