Li et al., 2021 - Google Patents
Remaining useful life prediction of aero-engine based on PCA-LSTMLi 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 …
- 230000001537 neural 0 abstract description 19
Classifications
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- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric 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
- G05B23/0243—Electric 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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- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric 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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- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
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