"Machinery fault diagnosis based on a modified hybrid deep sparse ..."

Syahril Ramadhan Saufi et al. (2023)

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DOI: 10.1007/S12652-022-04436-1

access: closed

type: Journal Article

metadata version: 2024-10-06

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Syahril Ramadhan Saufi, Muhammad Firdaus Isham, Zair Asrar Bin Ahmad, Muhammad Danial Bin Abu Hasan:
Machinery fault diagnosis based on a modified hybrid deep sparse autoencoder using a raw vibration time-series signal. J. Ambient Intell. Humaniz. Comput. 14(4): 3827-3838 (2023)

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