Open Access

A Method for Improving the Accuracy of Natural Frequency Measurement Using In-the-loop Computing

   | Aug 13, 2021

Cite

[1] Yang, J.-Y., Xia, B.-H., Chen, Z., Li, T.-L., Liu, R. (2020). Vibration-based Structural damage identification: A Review. International Journal of Robotics and Automation, 35 (2), 123-131.10.2316/J.2020.206-0259 Search in Google Scholar

[2] Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M. (2021). A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications. Mechanical Systems and Signal Processing, 147, 1-45.10.1016/j.ymssp.2020.107077 Search in Google Scholar

[3] Glowacz, A., Glowacz, W., Kozik, J., Piech, K., Gutten, M., Caesarendra, W., Liu, H., Brumercik, F., Irfan, M., Khan, Z.F. (2019). Detection of deterioration of three-phase induction motor using vibration signals. Measurement Science Review, 19 (6), 241-249.10.2478/msr-2019-0031 Search in Google Scholar

[4] Ostachowicz, W.M., Krawczuk, M. (1991). Analysis of the effect of cracks on the natural frequencies of a cantilever beam. Journal of Sound and Vibration, 150, 191-201.10.1016/0022-460X(91)90615-Q Search in Google Scholar

[5] Palacz, M., Krawczuk, M. (2002). Vibration parameters for damage detection in structures. Journal of Sound and Vibration, 249, 999-1010.10.1006/jsvi.2001.3761 Search in Google Scholar

[6] Dahak, M., Touat, N., Kharoubi, M. (2019). Damage detection in beam through change in measured frequency and undamaged curvature mode shape. Inverse Problems in Science and Engineering, 27 (1), 89-114.10.1080/17415977.2018.1442834 Search in Google Scholar

[7] Sha, G., Radzieński, M., Cao, M., Ostachowicz, W. (2019). A novel method for single and multiple damage detection in beams using relative natural frequency changes. Mechanical Systems and Signal Processing, 132, 335-352.10.1016/j.ymssp.2019.06.027 Search in Google Scholar

[8] Surace, C., Bovsunovsky, A. (2020). The use of frequency ratios to diagnose structural damage in varying environmental conditions. Mechanical Systems and Signal Processing, 136, 106523.10.1016/j.ymssp.2019.106523 Search in Google Scholar

[9] Salawu, O.S. (1997). Detection of structural damage through changes in frequency: A review. Engineering Structures, 19, 718-723.10.1016/S0141-0296(96)00149-6 Search in Google Scholar

[10] Behera, S.K., Parhi, D.R., Das, H.C. (2018). Numerical, experimental and fuzzy logic applications for investigation of crack location and crack depth estimation in a free-free aluminum beam. Vibrations in Physical Systems, 29, 1-20. Search in Google Scholar

[11] Gillich, G.-R., Maia, N.M.M., Mituletu, I.C. (2018). Problem of detecting damage through natural frequency changes. In Vibration-Based Techniques for Damage Detection and Localization in Engineering Structures. World Scientific, vol. 10, 105-140.10.1142/9781786344977_0004 Search in Google Scholar

[12] Gillich, G.-R., Mituletu, I.C. (2017). Signal postprocessing for accurate evaluation of the natural frequencies. In Structural Health Monitoring: An Advanced Signal Processing Perspective, Springer, vol. 26, 13-37.10.1007/978-3-319-56126-4_2 Search in Google Scholar

[13] Luczynski, M., Dobrucki, A., Brachmanski, S. (2020). Active tone elimination algorithm using FFT with interpolation and zero-padding. In Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA 2020) Conference Proceedings, SPA. IEEE, 163-168.10.23919/SPA50552.2020.9241255 Search in Google Scholar

[14] Quinn, B.G. (1994). Estimating frequency by interpolation using Fourier coefficients. IEEE Transactions on Signal Processing, 42 (5), 1264-1268.10.1109/78.295186 Search in Google Scholar

[15] Luo, J., Xie, Z., Xie, M. (2016). Interpolated DFT algorithms with zero padding for classic windows. Mechanical Systems and Signal Processing, 70-71, 1011-1025.10.1016/j.ymssp.2015.09.045 Search in Google Scholar

[16] Shen, T.-A., Li, H.-N., Zhang, Q.-X., Li, M. (2017). A novel adaptive frequency estimation algorithm based on interpolation FFT and improved adaptive notch filter. Measurement Science Review, 17, 48-52.10.1515/msr-2017-0006 Search in Google Scholar

[17] Mituletu, I.C., Gillich, G.-R., Maia, N.M.M. (2019). A method for an accurate estimation of natural frequencies using swept-sine acoustic excitation. Mechanical Systems and Signal Processing, 116, 693-709.10.1016/j.ymssp.2018.07.018 Search in Google Scholar

[18] Barot, T., Burgsteiner, H., Kolleritsch, W. (2020). Comparison of discrete autocorrelation functions with regards to statistical significance. In Applied Informatics and Cybernetics in Intelligent Systems: Proceedings of the 9th Computer Science On-line Conference 2020. Springer, vol. 3, 257-266.10.1007/978-3-030-51974-2_24 Search in Google Scholar

[19] Kolokolov, A.S., Lyubinskii, I.A. (2019). Measuring the pitch of a speech signal using the autocorrelation function. Automation and Remote Control, 80, 317-323.10.1134/S0005117919020097 Search in Google Scholar

[20] Ahn, S.J., Jeong, W.B., Yoo, W.S. (2005). Improvement of impulse response spectrum and its application. Journal of Sound and Vibration, 288, 1223-1239.10.1016/j.jsv.2005.01.020 Search in Google Scholar

eISSN:
1335-8871
Language:
English
Publication timeframe:
6 times per year
Journal Subjects:
Engineering, Electrical Engineering, Control Engineering, Metrology and Testing