Application of Nullspace-Based Fault Detection to an Aircraft Structural Part Under Changing Excitation

被引:0
|
作者
Adam, Tobias [1 ]
Kraemer, Peter [1 ]
机构
[1] Univ Siegen, Chair Mech Struct Hlth Monitoring, Paul Bonatz Str 9-11, D-57076 Siegen, Germany
来源
EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 2 | 2023年
关键词
Structural health monitoring; Nullspace-based fault detection; Changing excitation; Vibration-based damage detection; DAMAGE DETECTION;
D O I
10.1007/978-3-031-07258-1_79
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A suitable combination of different methods and measurement techniques is often required for Structural Health Monitoring (SHM) of objects in situ. In the field of aerospace applications, the current research project "Combined acoustic and modal structure monitoring" is dealing with the development of a robust SHM system for damage identification in carbon-fiber-reinforced polymer (CFRP) structures under realistic and varying loads. The methods combined within the project are based on guided waves, acoustic emission, and different vibration monitoring techniques. The present paper deals with the application of the nullspace-based fault detection algorithm (NSFD) as a part of a holistic concept for the monitoring of an aircraft door surround structure. Due to the great sensitivity to changes in the statistical properties of the measured data, the algorithm reacts very sensitively to structural changes, but also to changes in the environmental conditions, such as changes in the external loads. In this paper, the impact of changing excitation conditions on the NSFD damage indicator is analyzed. Therefore, two different formulations for the NSFD algorithm are studied and compared concerning their sensitivity and robustness against changes of the external loads. Since the sensitivity and the results depend also on the algorithm set-up parameters, these are analyzed and taken into account. The evaluation of the results considers both, the robustness to the influence of the varying excitation and the sensitivity to damages in the analyzed structure. The theory and the algorithms are successfully tested with measured data sets from a CFRP-airplane structure.
引用
收藏
页码:784 / 792
页数:9
相关论文
共 50 条
  • [31] Fault Detection and Isolation Based on Structural Analysis: Application to a Multi-Engine Propulsion Cluster
    Murata, Renato
    Marzat, Julien
    Piet-Lahanier, Helene
    Boujnah, Sandra
    Belleoud, Pierre
    SENSORS, 2025, 25 (04)
  • [32] Robust Data-Driven Fault Detection: An Application to Aircraft Air Data Sensors
    Zhao, Yunmei
    Zhao, Hang
    Ai, Jianliang
    Dong, Yiqun
    INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING, 2022, 2022
  • [33] Structural health monitoring technology for a full-scale aircraft structure under changing temperature
    Gao, D.
    Wang, Y.
    Wu, Z.
    Rahim, G.
    AERONAUTICAL JOURNAL, 2014, 118 (1210): : 1519 - 1537
  • [34] Structural health monitoring technology for a full-scale aircraft structure under changing temperature
    State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, China
    1600, Royal Aeronautical Society (118):
  • [35] A Bayesian Framework for Crack Detection in Structural Components Under Dynamic Excitation
    Broggi, Matteo
    Beaurepaire, Pierre
    Patelli, Edoardo
    2013 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE (PHM), 2013, 33 : 127 - 132
  • [36] Data-driven sensor fault diagnosis for vibration-based structural health monitoring under ambient excitation
    Lydakis, Emmanouil
    Koss, Holger
    Brincker, Rune
    Amador, Sandro D. R.
    MEASUREMENT, 2024, 237
  • [37] Model-based fault detection and diagnosis part A:: Methods
    Füssel, D
    Isermann, R
    PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT (PSAM 4), VOLS 1-4, 1998, : 1869 - 1874
  • [38] Voting-based Fault Detection for Aircraft Position Measurements with Dissimilar Observations
    Grof, Tamas
    Bauer, Peter
    IFAC PAPERSONLINE, 2020, 53 (02): : 14724 - 14729
  • [39] Multi-Agent Based Fault Detection and Isolation in More Electric Aircraft
    Nahid-Mobarakeh, Babak
    Simoes, Marcelo Godoy
    2013 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2013,
  • [40] Fault detection of aircraft generator rotating rectifier based on SAE and SVDD method
    Cui, Jiang
    Shi, Ge
    Zhang, Zhuoran
    2017 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-HARBIN), 2017, : 510 - 514