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Machine Health Surveillance System by Using Deep Learning Sparse Autoencoder
Deep learning is a rapidly growing research area having state of art achievement in various applications including but not limited to speech recognition, object recognition, machine translation, and image segmentation. In the current modern industrial manufacturing system, Machine Health Surveillance System (MHSS) is achieving increasing popularity because of the widespread availability of low cost sensors internet connectivity. Deep learning architecture gives useful tools to analyze anddoi:10.21203/rs.3.rs-911385/v1 fatcat:kem3tjwfezc6bkryotdm2pwqim