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  • 1.
    Altundal, Sahin
    et al.
    nstitute of Biomaterials and Biomechanics, Riga Technical University, Latvia.
    Gross, Karlis Agris
    nstitute of Biomaterials and Biomechanics, Riga Technical University, Latvia.
    Öhman Mägi, Caroline
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Tillämpad materialvetenskap.
    Engqvist, Håkan
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Tillämpad materialvetenskap.
    Improving the Flexural Strength Test of Brushite Cement2015Ingår i: Key Engineering Materials, ISSN 1013-9826, E-ISSN 1662-9795, Vol. 631, s. 67-72Artikel i tidskrift (Refereegranskat)
  • 2.
    Ambrozinski, Lukasz
    et al.
    Faculty of Mechanical Engineering and Robotics, Dept of Robotics and Mechatronics,AGH University of Science and Technology, Kraków, Polen.
    Stepinski, Tadeusz
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Signaler och System.
    Uhl, Tadeusz
    Faculty of Mechanical Engineering and Robotics, Dept of Robotics and Mechatronics,AGH University of Science and Technology, Kraków, Polen.
    Ochonski, Janusz
    Faculty of Mechanical Engineering and Robotics, Dept of Robotics and Mechatronics,AGH University of Science and Technology, Kraków, Polen.
    Klepka, Andrzej
    Faculty of Mechanical Engineering and Robotics, Dept of Robotics and Mechatronics,AGH University of Science and Technology, Kraków, Polen.
    Development of Lamb waves-based SHM systems2012Ingår i: Key Engineering Materials, ISSN 1013-9826, E-ISSN 1662-9795, Vol. 518, s. 87-94Artikel i tidskrift (Refereegranskat)
  • 3. Breding, K
    et al.
    Engqvist, Håkan
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Tillämpad materialvetenskap.
    Strength and Chemical Stability due to Aging of Two Bone Void Filler Materials2008Ingår i: Key Engineering Materials, ISSN 1013-9826, E-ISSN 1662-9795, Vol. 361-363, s. 315-318Artikel i tidskrift (Refereegranskat)
  • 4.
    Dragan, Krzysztof
    et al.
    AGH University of Science and Technology, Krakow, Polen.
    Dziendzikowski, Michal
    Air Force Institute of Technology, Warszawa, Polen.
    Uhl, Tadeusz
    AGH University of Science and Technology, Krakow, Polen.
    Stepinski, Tadeusz
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Signaler och System.
    Remote monitoring of fatigue cracks growth in the aircraft structure based on active piezosensor network during the full scale fatigue test2014Ingår i: Key Engineering Materials, ISSN 1013-9826, E-ISSN 1662-9795, Vol. 588, s. 249-256Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    One of the major issues from a structural integrity point of view of the aircraft structure is an appropriate health monitoring technology delivery for the damage tolerant philosophy. This paper presents a development of a system for fatigue crack growth monitoring and early damage detection in the PZL 130 ORLIK TC II turbo-prop military trainer aft structure. The maintenance system of the aircraft shifts from the safe-life to the hard-time. The aircraft started Full Scale Fatigue Test (FSFT) which will continue up to 2013. In the article a built block approach for the system design, signal modeling, sensing and signal processing as well as damage detection is presented. Taking into the consideration a previous experience of AGH as well as AFIT, a network of PZT transducers was deployed in the aircraft structure hot-spots. The system components are: remote monitoring unit, signal analysis, graphical user interface, sensor self-diagnostic tools, and data classification model. Description of damage detection capabilities are delivered in the paper. In particular some issues concerning the proposed damage indices and its application to crack growth estimation models are discussed. Fishers Linear Discriminant is used as a method to obtain effective crack growth predictors and one of the self-diagnostic tools used in the system. The results of the data collected from specimen fatigue tests are delivered and cross-validation technique is used to evaluate a classification model based on the damage indices derived.

  • 5.
    Dworakowski, Ziemowit
    et al.
    AGH University of Science and Technology, Krakow, Polen.
    Ambrozinski, Lukasz
    AGH University of Science and Technology, Krakow, Polen.
    Packo, Pawel
    AGH University of Science and Technology, Krakow, Polen.
    Dragan, Krzysztof
    AGH University of Science and Technology, Krakow, Polen.
    Stepinski, Tadeusz
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Signaler och System.
    Uhl, Tadeusz
    AGH University of Science and Technology, Krakow, Polen.
    Application of artificial neural networks for damage indices classification with the use of Lamb waves for the aerospace structures2014Ingår i: Key Engineering Materials, ISSN 1013-9826, E-ISSN 1662-9795, Vol. 588, s. 12-21Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Lamb waves (LW) are used for damage detection and health monitoring due to the long range propagation ability and sensitivity to structural integrity changes as well as their robustness in different applications. However, due to the dispersive character and multimode nature of LWs, analysis of the acquired ultrasonic signals is very complex. It becomes even more difficult when applied to a complex structure, for instance, an aircraft component with riveted joints and stringers characterized by difficult geometries. Therefore, numerous approaches to the evaluation of damage indices have been proposed in the literature. In this paper, comparison a number of damage indices applied to LWs testing in aircraft aluminum panels. The damage indices, known from the literature have been selected from the application point of view. Artificial neural network has been used for the classification of fatigue cracks and artificial damages induced in the specimens taken from a real aircraft structure. Article presents results of simulation, data analysis and data classification obtained using selected and dedicated neural network. The main aim of the presented research was to develop signal processing and signal classification methods for an aircraft health monitoring system. The article presents a part of the research carried out in the project named SYMOST.

  • 6. Jarmar, T
    et al.
    Uhlin, Thomas
    Höglund, Urban
    Thomsen, Peter
    Hermansson, Leif
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Tillämpad materialvetenskap.
    Engqvist, Håkan
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Tillämpad materialvetenskap.
    Injectable bone cements for Vertebroplasty studied in sheep vertebrae with electron microscopy2008Ingår i: Key Engineering Materials, ISSN 1013-9826, E-ISSN 1662-9795, Vol. 361-363, s. 373-376Artikel i tidskrift (Övrigt vetenskapligt)
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