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检索条件"机构=Department of Structural Dynamics/Pattern Recognition"

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Rotational Operating Deflection Shapes Analysis with High-Speed Camera 41st

Rotational Operating Deflection Shapes Analysis with High-Sp...

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41st IMAC, A Conference and Exposition on structural dynamics, 2023

作者： Bogatikov, Peter Herfert, Daniel Gollnick, Maik Department of Structural Dynamics/Pattern Recognition Society for the Advancement of Applied Computer Science Berlin Germany

ISBN: (纸本)9783031349096

By using high-speed cameras, non-contact and high-resolution measurements of vibrations are possible for beginners and experts with little configuration effort. This makes surface measurements feasible, where each image pixel can be used as a vibration sensor. By using optical flow algorithms, measurements are possible without pretreatment of the target. This also applies to color homogeneous structures. This technique is very well suited for vibration analysis and online condition monitoring of buildings, such as bridges and wind turbines. Within the scope of this chapter, this technique is used for the first time to investigate the model of a wind turbine in terms of an order-based operating deflection shapes analysis. In addition to the deformation data, the speed signal will also be generated from the video to perform an order analysis, so that the operating deflection shape analysis can be visualized depending on the order or speed. © 2024, The Society for Experimental Mechanics, Inc.

关键词： High speed cameras

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Examining the dynamic characteristics of a tennis racket through high-speed videos 31

Examining the dynamic characteristics of a tennis racket thr...

引用

31st International Conference on Noise and Vibration Engineering, ISMA 2024 and 10th International Conference on Uncertainty in structural dynamics, USD 2024

作者： Herfert, D. Krause, J. Henning, K. Gollnick, M. Society for the Advancement of Applied Computer Science Department of Structural Dynamics / Pattern Recognition Volmerstrasse 3 Berlin12489 Germany

ISBN: (纸本)9789082893175

This paper presents the application of image-based vibration analysis to a tennis racket. A high-speed camera is used to record a video of the vibrating tennis racket and the recorded data is then analyzed. The simultaneous recording of thousands of measuring points enables completely new analysis options for tennis rackets, so that evaluations under playing conditions as well as investigations of arm-hand vibration effects will also be possible in the future. Non-contact measurements eliminate the need to install and wire sensors and allow analysis of delicate structures like the racket strings, where sensors are difficult to install. In image-based analysis, each pixel becomes an individual measuring point, comparable to a classical vibration sensor. In this way, sub-pixel movements that are no longer recognizable to the human eye, can be measured. The results of the analysis are compared with those of Finite Element Analysis (FEA). © 2024 Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in structural dynamics. All rights reserved.

关键词： High speed cameras

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WaveAR: A Real-Time Sensor-Based Augmented Reality Implementation for Operating Deflection Shapes 39th

WaveAR: A Real-Time Sensor-Based Augmented Reality Implement...

引用

39th IMAC, A Conference and Exposition on structural dynamics, 2021

作者： Herfert, Daniel Henning, Kai Department of Structural Dynamics/Pattern Recognition Society for the Advancement of Applied Computer Science Berlin Germany

ISBN: (纸本)9783030763343

We present WaveAR, the first sensor-based augmented reality system for structural dynamic measurements of operating deflection shapes. WaveAR offers a significant simplification of the configuration effort of vibration sensor measurements by an automatically sensor tracking coupled by an efficient 3D scan generation of the structure. AR markers are used for sensor tracking which are placed on the sensor. This allows the determination of the sensor pose relative to the scanned structure. For this purpose the vibration sensors must be covered with AR markers. This allows a universal easy application also for existing sensor equipment. For 3D scanning and sensor tracking, a low-cost stereo depth camera is used. Because the AR application should be independent from data acquisition hardware, we have implemented a universal HTTP Rest-API interface for data acquisition connection. Through this, it is also supported to use wireless sensors. Based on this configuration, a real-time visualization in the form of an augmented reality application of the operating deflection shapes can be performed under real operating conditions. This enables the user to view the measurement from different perspectives by moving the camera around the object to be examined. © 2022, The Society for Experimental Mechanics, Inc.

关键词： Augmented reality

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WaveImage – Order ODS for Rotating Machineries 39th

WaveImage – Order ODS for Rotating Machineries

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39th IMAC, A Conference and Exposition on structural dynamics, 2021

作者： Urban, Matthias Herfert, Daniel Gollnick, Maik Department of Structural Dynamics / Pattern Recognition Society for the Advancement of Applied Computer Science Berlin Germany

ISBN: (纸本)9783030763343

Operational deflection shape (ODS) analysis is a method to determine the vibration pattern of a structure influenced by its own operating forces and can be applied to the time and frequency domain. For rotating machinery with rapidly changing numbers of revolutions, ODS analysis provides insufficient results in the frequency domain. This work introduces the novel order ODS from the software WaveImage. This approach applies order analysis (OA) techniques to the ODS analysis. Classical OA deals with the analysis of structures which contain rotating elements such as engines or turbines. Each rotating element generates its own noise and vibration pattern which contributes to the overall vibration pattern. With OA these individual patterns can be identified and analyzed for each rotating element. During a run-up or run-down, relevant frequencies of the structure shift in relation to the current rotational speed and are therefore more difficult to evaluate. Furthermore, in OA each measuring channel is evaluated individually. The visualization of a complex geometry together with the simultaneous measurement of several measuring points is currently not applied in the field of OA. To overcome these disadvantages, a new domain was introduced to the ODS analysis. The advantage is the possibility of visualizing the ODS for a certain rotational speed. In OA, digital resampling takes place in which the original time signal is transformed into the angular range. After that the result is transferred to the target domain by Fourier transformation. To carry out the order ODS, the RPM signal must be measured in addition to the response measurement. For the validation of the order ODS approach, a structure was measured using acceleration sensors and a slow-motion video sequence. The acceleration data was used to perform a frequency ODS. To calculate the order ODS, the optical flow is used to determine the acceleration data from the recorded video. Finally the result of the frequency OD

关键词： Optical flows

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Automatic Modal Parameter Identification with Methods of Artificial Intelligence 38th

Automatic Modal Parameter Identification with Methods of Art...

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38th IMAC, A Conference and Exposition on structural dynamics, 2020

作者： Gollnick, Maik Herfert, Daniel Heimann, Jan Department of Structural Dynamics/Pattern Recognition Society for the Advancement of Applied Computer Science Berlin Germany

ISBN: (纸本)9783030477165

The increasing use of operational and experimental modal analysis provides experienced and inexperienced users always face new challenges. Automated evaluation, as a tool for distinguishing between physical and mathematical poles and for removing uncertainties in the accuracy of results, is becoming increasingly important (Jenny Lau, et al.: "Automatic modal analysis: reality or myth?"). This work deals specifically with the description of extreme values and their automated selection in indicator functions. The developed method is based on methods of pattern recognition and artificial intelligence and does not require any further parameters and or expert knowledge for later execution. The functional values of the indicator functions are represented by a simple feature vector with small dimensions and classified by a "Support Vector Machine" (SVM). Since the characteristics describe the function course, they are independent of the measurement parameters, such as sampling rate or frequency spacing. To increase robustness, existing methods from the field of "computer vision" were adapted and new ideas developed. Due to the versatile applicability of the method, an enormous database is required for the learning process. Therefore, a method for the creation of a training basis with synthetic data was developed. This covers a very wide range of applications and special cases, such as modes that are close together or strongly damped. In addition, the influence of inaccuracies, such as sensor noise, was modelled. © 2021, The Society for Experimental Mechanics, Inc.

关键词： Modal analysis

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Automatic interpolation for the animation of unmeasured nodes with differential geometric methods 1

引用

38th IMAC, A Conference and Exposition on structural dynamics, 2020

作者： Herfert, Daniel Henning, Kai Heimann, Jan Society for the Advancement of Applied Computer Science Department of Structural Dynamics/Pattern Recognition Berlin Germany

ISBN: (数字)9783030477219

ISBN: (纸本)9783030477202

In the field of structural dynamics, more and more demands are made on a realistic representation of mode and operating deflection shapes. This work deals specifically with the problem of interpolating sensor data for unmeasured points. This is applied to 3D geometries with large vertex sets and few measurement points. The interpolation of very complex 3D geometry objects (e.g. 3d Scans or CAD programs) is very important for the realistic visualization of vibrations in structural dynamics. The presented interpolation method respects the connectivity of the mesh and additionally adds boundary conditions and curvature of the geometry. Thereby we expect more realistic shapes for unmeasured points. The developed method is based on the mathematical framework of discrete differential geometry and provides a simple interface that requires only the 3D geometry and sensor data, resulting in a sparse linear system. The solution of this linear system then can be efficiently split into two parts;factorization and back substitution. Thus, users can interact in realtime with the animated sensor data visualization. This gives the user the ability to explore measured data in a more realistic way. For validation, we tested the interpolation method with measured data of representative 3D geometries. © 2020, The Society for Experimental Mechanics, Inc.

关键词： Modal analysis

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