Abstract
As the fault feature information of intershaft bearing in aeroengine has the nature of being weak, complex and compound, it is often challenging to have it correctly identified. To precisely estimate the decomposition layer-number which corresponds to variational mode decomposition (VMD) becomes a premise of signal decomposition. After signal decomposition, it is crucial to exactly pick up sensitive fault component signals to make precise fault identification. To precisely identify a compound fault which comes from intermediate bearing, firstly, consideration that the larger Activity parameter which is corresponding to Hjorth parameters is, the more distinct fault feature information will be, the paper has implemented the adaptively determination of the decomposition layer-number of VMD. Secondly, as the mid-value of signal reflects the general level of signal and survives the influence of extreme data, the paper has taken advantage of the sensitivity of Activity parameter to fault feature information and the mid-value of Activity parameter to make adaptively option of intrinsic mode function (IMF) which can embody fault feature information better. Finally, the compound fault type of intershaft bearing is identified by the frequency spectrum of the reconstructed signal which is obtained by chosen sensitive component signals. A comparative analysis with other methods indicates that Activity parameter can be placed in to adaptively determine the decomposition layer-number of VMD and make exact option of component signals which are sensitive to fault information. The fault analysis of integral disassembly of aeroengine has further illustrated the engineering applicability of method.
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Data availability
The datasets analyzed during the current study are chosen not to be made public due to confidentiality, but are available from the corresponding author on reasonable request.
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Funding
This work was supported by National Natural Science Foundation of China [Grant Number: 51605309], Natural Science Foundation of Liaoning Province [Grant Number: 2019-ZD-0219], Aeronautical Science Foundation of China [Grant Number: 201933054002].
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Yu, M., Guo, G., Fang, M. et al. Intershaft bearing compound faults identification by using VMD and a new index: the activity parameter in Hjorth parameters. Nonlinear Dyn 110, 2657–2672 (2022). https://doi.org/10.1007/s11071-022-07753-4
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DOI: https://doi.org/10.1007/s11071-022-07753-4