A review of methods for excitation force reconstruction

Mendrok, Krzysztof; Dworakowski, Ziemowit

doi:10.29354/diag/110241

Cited by 8 publications

(4 citation statements)

References 52 publications

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“…Force identification methods can be classified according to the domain in which they operate, and the nature of the algorithm used [ 1 ]. The first classification distinguishes two categories: time domain and frequency domain identification methods.…”

Section: Introductionmentioning

confidence: 99%

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Force Identification Based on Response Signals Captured with High-Speed Three-Dimensional Digital Image Correlation

Mendrok

Molina-Viedma

López‐Alba

et al. 2023

Sensors

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Structural Health Monitoring (SHM) systems allow three types of diagnostic tasks to be performed, namely damage identification, loads monitoring, and damage prognosis. Only if all three tasks are correctly fulfilled can the useful remaining life of a structure be estimated credibly. This paper deals with the second task and aimed to extend state-of-the-art in load identification, by demonstrating that it is feasible to achieve it through the analysis of response signals captured with high-speed three-dimensional Digital Image Correlation (HS 3D-DIC). The efficacy of the proposed procedure is demonstrated experimentally on a frame structure under broadband vibration excitation. Full-field vibration displacement signals are captured with the use of two high-speed cameras and processed with 3D-DIC. Loads are identified with two different algorithms based on inverting the Frequency Response Function (FRF) matrix and modal filtration (MF). The paper discusses both methods providing their theoretical background and experimental performance.

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Section: Introductionmentioning

confidence: 99%

“…The second classification distinguishes three groups: deterministic, statistical, and artificial intelligence-based methods. Within these three groups, there are many effective force identification algorithms, an overview of which can be found in [ 1 , 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Force Identification Based on Response Signals Captured with High-Speed Three-Dimensional Digital Image Correlation

Mendrok

Molina-Viedma

López‐Alba

et al. 2023

Sensors

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“…Comprehensive review of the different OMA algorithms can be found in the article by Zahid et al [25]. The attempt to create an automated OMA together with thorough analysis of the influence of different selection of an estimation parameters can be found in paper by Rainieri and Fabbrocino [26]. OMA has many advantages such as the use of actual excitation levels and thus the study of the machine's dynamic properties at the operating point has been conducted.…”

Section: Introductionmentioning

confidence: 99%

Multi-Variant Modal Analysis Approach for Large Industrial Machine

et al. 2022

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Power generation technologies are essential for modern economies. Modal Analysis (MA) is advanced but well-established method for monitoring of structural integrity of critical assets, including power ones. Apart from classical MA, the Operational Modal Analysis approach is widely used in the study of dynamic properties of technical objects. The principal reasons are its advantages over the classical approach, such as the lack of necessity to apply the excitation force to the object and isolate it from other excitation sources. However, for industrial facilities, the operational excitation rarely takes the form of white noise. Especially in the case of rotating machines, the presence of rotational speed harmonics in the response signals causes problems with the correct identification of the modal model. The article presents a hybrid approach where combination of results of two Operational Modal Analyses and Experimental Modal Analysis is performed to improve the models’ quality. The proposed approach was tested on data obtained from a 215 MW turbogenerator operating in one of Polish power plants. With the proposed approach it was possible to diagnose the machine’s excessive vibration level correctly.

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“…Increasing the number of sensors recording responses improves the numerical conditioning of the method. One of the most recent reviews on the topic of excitation forces identification can be found in [ 2 ]. Other articles comparing methods for identifying forces are the works by Sanchez and Benarova [ 3 ] and Uhl [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Indirect Measurement of Loading Forces with High-Speed Camera

Mendrok

Dworakowski

Dziedziech

et al. 2021

Sensors

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In the last few decades, there has been a significant increase in interest in developing, constructing, and using structural health monitoring (SHM) systems. The classic monitoring system should, by definition, have, in addition to the diagnostic module, a module responsible for monitoring loads. These loads can be measured with piezoelectric force sensors or indirectly with strain gauges such as resistance strain gauges or FBG sensors. However, this is not always feasible due to how the force is applied or because sensors cannot be mounted. Therefore, methods for identifying excitation forces based on response measurements are often used. This approach is usually cheaper and easier to implement from the measurement side. However, in this approach, it is necessary to use a network of response sensors, whose installation and wiring can cause technological difficulties and modify the results for slender constructions. Moreover, many load identification methods require the use of multiple sensors to identify a single force history. Increasing the number of sensors recording responses improves the numerical conditioning of the method. The proposed article presents the use of contactless measurements carried out with the help of a high-speed camera to identify the forces exiting the object.

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A review of methods for excitation force reconstruction

Cited by 8 publications

References 52 publications

Force Identification Based on Response Signals Captured with High-Speed Three-Dimensional Digital Image Correlation

Force Identification Based on Response Signals Captured with High-Speed Three-Dimensional Digital Image Correlation

Multi-Variant Modal Analysis Approach for Large Industrial Machine

Indirect Measurement of Loading Forces with High-Speed Camera

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