A heterogeneous time-tracking fusion and application to health evaluation of aerospace engines
Heterogeneous information fusion has long been a difficult problem due to the differences in the representation and feature of various physical information. Besides, the multisensor signals of large mechanical equipment, such as aerospace engines, often change in a complicated way during the start-u...
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sg-ntu-dr.10356-1707582023-10-02T05:50:12Z A heterogeneous time-tracking fusion and application to health evaluation of aerospace engines Chen, Zhenyi Gao, Yushan Zi, Yanyang Zhang, Mingquan Li, Chen Xiao, Zhongmin School of Mechanical and Aerospace Engineering Engineering::Aeronautical engineering Aerospace Engine Health Evaluation Heterogeneous information fusion has long been a difficult problem due to the differences in the representation and feature of various physical information. Besides, the multisensor signals of large mechanical equipment, such as aerospace engines, often change in a complicated way during the start-up stage and long-term operation, which makes the multisensor fusion-based health assessment research impending. To explore a suitable fusion method for multiphysical signals with different change rates and to monitor the health state of large mechanical equipment based on multisensor information, this article proposes a heterogeneous time-tracking fusion algorithm. First, the time-domain indexes and instantaneous frequencies of the fast-varying harmonic-like signals are obtained by employing index extraction and second-order synchrosqueezing transform, respectively, by which the overall and detailed characteristics of the signals are thus obtained. Second, after structuring a dynamic time-tracking function consisting of the hyperbolic tangent function and modified arctangent function, the time-dynamic confidence upper limit for fast-varying signals and the confidence interval for slow-varying signals are obtained creatively. Finally, the different varying-rate signals are fused into a dynamic normalized time-varying index representing the health state through the aforementioned functions. By applying the proposed method to the health evaluation for ignition start-up stage of gas generators and the long-term performance of the turbopump, its effectiveness and practicability in the aerospace engine health analysis have been validated. 2023-10-02T05:50:12Z 2023-10-02T05:50:12Z 2023 Journal Article Chen, Z., Gao, Y., Zi, Y., Zhang, M., Li, C. & Xiao, Z. (2023). A heterogeneous time-tracking fusion and application to health evaluation of aerospace engines. IEEE Transactions On Instrumentation and Measurement, 72, 3267373-. https://dx.doi.org/10.1109/TIM.2023.3267373 0018-9456 https://hdl.handle.net/10356/170758 10.1109/TIM.2023.3267373 2-s2.0-85153535133 72 3267373 en IEEE Transactions on Instrumentation and Measurement © 2023 IEEE. All rights reserved. |
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Engineering::Aeronautical engineering Aerospace Engine Health Evaluation Chen, Zhenyi Gao, Yushan Zi, Yanyang Zhang, Mingquan Li, Chen Xiao, Zhongmin A heterogeneous time-tracking fusion and application to health evaluation of aerospace engines |
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Heterogeneous information fusion has long been a difficult problem due to the differences in the representation and feature of various physical information. Besides, the multisensor signals of large mechanical equipment, such as aerospace engines, often change in a complicated way during the start-up stage and long-term operation, which makes the multisensor fusion-based health assessment research impending. To explore a suitable fusion method for multiphysical signals with different change rates and to monitor the health state of large mechanical equipment based on multisensor information, this article proposes a heterogeneous time-tracking fusion algorithm. First, the time-domain indexes and instantaneous frequencies of the fast-varying harmonic-like signals are obtained by employing index extraction and second-order synchrosqueezing transform, respectively, by which the overall and detailed characteristics of the signals are thus obtained. Second, after structuring a dynamic time-tracking function consisting of the hyperbolic tangent function and modified arctangent function, the time-dynamic confidence upper limit for fast-varying signals and the confidence interval for slow-varying signals are obtained creatively. Finally, the different varying-rate signals are fused into a dynamic normalized time-varying index representing the health state through the aforementioned functions. By applying the proposed method to the health evaluation for ignition start-up stage of gas generators and the long-term performance of the turbopump, its effectiveness and practicability in the aerospace engine health analysis have been validated. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Chen, Zhenyi Gao, Yushan Zi, Yanyang Zhang, Mingquan Li, Chen Xiao, Zhongmin |
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Article |
author |
Chen, Zhenyi Gao, Yushan Zi, Yanyang Zhang, Mingquan Li, Chen Xiao, Zhongmin |
author_sort |
Chen, Zhenyi |
title |
A heterogeneous time-tracking fusion and application to health evaluation of aerospace engines |
title_short |
A heterogeneous time-tracking fusion and application to health evaluation of aerospace engines |
title_full |
A heterogeneous time-tracking fusion and application to health evaluation of aerospace engines |
title_fullStr |
A heterogeneous time-tracking fusion and application to health evaluation of aerospace engines |
title_full_unstemmed |
A heterogeneous time-tracking fusion and application to health evaluation of aerospace engines |
title_sort |
heterogeneous time-tracking fusion and application to health evaluation of aerospace engines |
publishDate |
2023 |
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https://hdl.handle.net/10356/170758 |
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1779156369285316608 |