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- W2371799307 abstract "The time series analysis combined with Back-Propagation network method was presented for flywheel energy storage system(FESS).The vibratory signals in normal and fault states were analyzed by time series analysis.The different state features were extracted by the time series model.The autoregressive coefficient eigenvectors were treated as inputs for BP network training.Different states such as normal,crack,and spalling etc.were identified and diagnosed effectively.The result shows that the method based on time series analysis and BP network is an effective means for classification and detection in FESS." @default.
- W2371799307 created "2016-06-24" @default.
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- W2371799307 date "2009-01-01" @default.
- W2371799307 modified "2023-09-26" @default.
- W2371799307 title "Study on Gear Fault Diagnosis in Flywheel Energy Storage System Based on Time Series Analysis and BP Networks Method" @default.
- W2371799307 hasPublicationYear "2009" @default.
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