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Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review

https://doi.org/10.3390/vibration6010014

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inferred← citeshttps://doi.org/10.3390/electronics14040755openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/en16093644openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/machines11070746openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/machines14020149openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/make7040111openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/math13172769openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s23073759openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s23218669openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s25061645openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s25195958openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/su151310543openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/su152014975openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/vibration7020028openalex-snapshot

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inferred← citeshttps://doi.org/10.4018/979-8-3693-5415-5.ch009openalex-snapshot

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inferred← citeshttps://doi.org/10.4018/ijwsr.366586openalex-snapshot

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inferred← citeshttps://doi.org/10.5937/poljteh2304100mopenalex-snapshot

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