Deep Neural Networks-Enabled Intelligent Fault Diagnosis Of Mechanical Systems Zhibin Zhao Crc Press Αγγλικά Βιβλία Computing And Technology

The Book Aims To Highlight Potential Of Deep Learning (Dl)-Enabled Methods In Intelligent Fault Diagnosis (Ifd) Along With Their Benefits And Contributions Authors First Introduce Basic Applications Dl-Enabled Ifd Including Auto-Encoders Belief Networks Convolutional Neural Advanced Topics Are Also Explored Such As Data Augmentation Multi-Sensor Fusion Unsupervised Transfer Architecture Search Self-Supervised Reinforcement Aiming Revolutionize Nature Networks-Enabled Diangosis Mechanical Systems Contributes Improved Efficiency Safety Reliability Various Industrial Domains Will Appeal Academic Researchers Practitioners Students Fields Prognostics Health Management Σελίδες: 206 Διαστάσεις: 17 8X17 8Cm