{"product_id":"deep-neural-networks-enabled-intelligent-fault-diagnosis-of-mechanical-systems-9781032757247","title":"Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems","description":"\u003cp\u003e • Author(s): Ruqiang Yan | Zhibin Zhao\u003cbr\u003e • Publisher: CRC Press\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Quality Control\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions.\u003c\/p\u003e\u003cp\u003eThe authors first introduce basic applications of DL-enabled IFD, including auto-encoders, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, \u003cem\u003eDeep Neural Networks-Enabled\u003c\/em\u003e \u003cem\u003eIntelligent\u003c\/em\u003e \u003cem\u003eFault Diangosis of Mechanical Systems\u003c\/em\u003e contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains.\u003c\/p\u003e\u003cp\u003eThe book will appeal to academic researchers, practitioners, and students in the fields of intelligent fault diagnosis, prognostics and health management, and deep learning.\u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Paperback","offer_id":47961055395991,"sku":"9781032757247","price":4821.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032757247.webp?v=1782822467","url":"https:\/\/atlanticbooks.com\/products\/deep-neural-networks-enabled-intelligent-fault-diagnosis-of-mechanical-systems-9781032757247","provider":"Atlantic Books","version":"1.0","type":"link"}