Real-Time Identification of Dynamic Loads Using Inverse Solution and Kalman Filter

Jinhui Jiang, Shuyi Luo, M. Shadi Mohamed, Zhongzai Liang

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
120 Downloads (Pure)


Evaluating dynamic loads in real time is crucial for health monitoring, fault diagnosis and fatigue analysis in aerospace, automotive and earthquake engineering among other vibration related applications. Developing such algorithms can be vital for several safety and performance functionalities. Therefore, over the past few years the identification of dynamic loads has attracted a lot of attention; however, little literature on the online identification can be found. In~this paper, we propose an online-identification method of structural dynamic loads so that the dynamic load is evaluated in real time and while the system response is still being measured. This is achieved by significantly improving the identification efficiency while retaining a high accuracy. The proposed method which is based on Kalman filter, is introduced in detail for a finite as well as an infinite number of degrees of freedom. Starting from an initial guess of the state vector we evaluate the error covariance, which then helps to identify the value of the excitation force using a weighted least square method and minimizing the covariance unbiased estimation. This~is repeated at certain time intervals i.e., time steps where the state vector is updated in real time as acceleration measurements are updated. The~feasibility of the method is validated using numerical simulations and an experimental verification where a detailed LabVIEW (National Instruments Ltd.) implementation is provided.
Original languageEnglish
Article number6767
JournalApplied Sciences
Issue number19
Early online date27 Sept 2020
Publication statusPublished - 1 Oct 2020


  • Dynamic load
  • Inverse problem
  • Kalman filter
  • LabVIEW
  • Online identification
  • Real-time identification

ASJC Scopus subject areas

  • General Materials Science
  • Instrumentation
  • General Engineering
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes


Dive into the research topics of 'Real-Time Identification of Dynamic Loads Using Inverse Solution and Kalman Filter'. Together they form a unique fingerprint.

Cite this