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

Autor: Cong Dai Nguyen, Alexander E. Prosvirin, Cheol Hong Kim, Jong-Myon Kim

Publikováno v: Sensors, Vol 21, Iss 1, p 18 (2020)

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

Externí odkaz: https://doaj.org/article/0655be0ec3ba4534af97edb245871774

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.

Autor: Nguyen CD; Department of Electrical, Electronics and Computer Engineering (BK21Four), University of Ulsan, Ulsan 44610, Korea., Prosvirin AE; Department of Electrical, Electronics and Computer Engineering (BK21Four), University of Ulsan, Ulsan 44610, Korea., Kim CH; School of Computer Science and Engineering, Soongsil University, Seoul 06978, Korea., Kim JM; Department of Electrical, Electronics and Computer Engineering (BK21Four), University of Ulsan, Ulsan 44610, Korea.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Dec 22; Vol. 21 (1). Date of Electronic Publication: 2020 Dec 22.