Combination of operational modal analysis algorithms to identify modal parameters of an actual centrifugal compressor
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866910521273352192 |
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| author | Zague, Leandro O. Castello, Daniel A. Matt, Carlos F. T. |
| author_facet | Zague, Leandro O. Castello, Daniel A. Matt, Carlos F. T. |
| contents | The novelty of the current work is precisely to propose a statistical procedure to combine estimates of the modal parameters provided by any set of Operational Modal Analysis (OMA) algorithms so as to avoid preference for a particular one and also to derive an approximate joint probability distribution of the modal parameters, from which engineering statistics of interest such as mean value and variance are readily provided. The effectiveness of the proposed strategy is assessed considering measured data from an actual centrifugal compressor. The statistics obtained for both forward and backward modal parameters are finally compared against modal parameters identified during standard stability verification testing (SVT) of centrifugal compressors prior to shipment, using classical Experimental Modal Analysis (EMA) algorithms. The current work demonstrates that combination of OMA algorithms can provide quite accurate estimates for both the modal parameters and the associated uncertainties with low computational costs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_07273 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Combination of operational modal analysis algorithms to identify modal parameters of an actual centrifugal compressor Zague, Leandro O. Castello, Daniel A. Matt, Carlos F. T. Data Analysis, Statistics and Probability Computational Engineering, Finance, and Science The novelty of the current work is precisely to propose a statistical procedure to combine estimates of the modal parameters provided by any set of Operational Modal Analysis (OMA) algorithms so as to avoid preference for a particular one and also to derive an approximate joint probability distribution of the modal parameters, from which engineering statistics of interest such as mean value and variance are readily provided. The effectiveness of the proposed strategy is assessed considering measured data from an actual centrifugal compressor. The statistics obtained for both forward and backward modal parameters are finally compared against modal parameters identified during standard stability verification testing (SVT) of centrifugal compressors prior to shipment, using classical Experimental Modal Analysis (EMA) algorithms. The current work demonstrates that combination of OMA algorithms can provide quite accurate estimates for both the modal parameters and the associated uncertainties with low computational costs. |
| title | Combination of operational modal analysis algorithms to identify modal parameters of an actual centrifugal compressor |
| topic | Data Analysis, Statistics and Probability Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2407.07273 |