Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network

Gearbox fault diagnosis based on the analysis of vibration signals has been a major research topic for a few decades due to the advantages of vibration characteristics. Such characteristics are used for early fault detection to guarantee the enhanced safety of complex systems and their cost-effectiv...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 21; číslo 1; s. 18
Hlavní autoři:	Nguyen, Cong Dai, Prosvirin, Alexander E., Kim, Cheol Hong, Kim, Jong-Myon
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI 22.12.2020 MDPI AG
Témata:	adaptive noise reducer Gaussian reference signal gearbox fault diagnosis stacked sparse autoencoder–based deep neural network varying rotational speed varying rotational speed stacked sparse autoencoder–based deep neural network Gaussian reference signal gearbox fault diagnosis adaptive noise reducer
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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