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Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions

PaperCitations, authors & open-access status

Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions is a paper indexed in PICO Portal from OpenAlex.

How many citations does Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions have?

PICO Portalcitation count

Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions has 120 citations in the OpenAlex counts PICO Portal stores.

When was Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions published?

PICO Portalyear

Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions has 2019 year in the PICO Portal index.

What is the open-access status of Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions?

PICO Portaloa status

Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions has closed oa status in the PICO Portal index.

What is the DOI of Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions?

PICO Portaldoi

The DOI for Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions is on the source record.

What is the OpenAlex record for Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions?

PICO Portalopenalex

The OpenAlex for Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions is on the source record.

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