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Li et al., 2021 - Google Patents

Remaining useful life prediction of aero-engine based on PCA-LSTM

Li et al., 2021

Document ID
502673656516941867
Author
Li H
Li Y
Wang Z
Li Z
Publication year
Publication venue
2021 7th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO)

External Links

Snippet

Remaining useful life (RUL) Prediction is one of the key technologies to realize engine health management. Aiming at the problems of high dimension of aeroengine sensor monitoring data and complex modeling of performance degradation, a prediction method of …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
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    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
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    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
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