كتاب إلكتروني

Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM)

التفاصيل البيبلوغرافية
العنوان: Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM)
المؤلفون: Sabir, RussellAff17, Aff18, Rosato, DanieleAff17, Hartmann, SvenAff17, Gühmann, ClemensAff18
المساهمون: Kacprzyk, Janusz, Series EditorAff1, Pal, Nikhil R., Advisory EditorAff2, Bello Perez, Rafael, Advisory EditorAff3, Corchado, Emilio S., Advisory EditorAff4, Hagras, Hani, Advisory EditorAff5, Kóczy, László T., Advisory EditorAff6, Kreinovich, Vladik, Advisory EditorAff7, Lin, Chin-Teng, Advisory EditorAff8, Lu, Jie, Advisory EditorAff9, Melin, Patricia, Advisory EditorAff10, Nedjah, Nadia, Advisory EditorAff11, Nguyen, Ngoc Thanh, Advisory EditorAff12, Wang, Jun, Advisory EditorAff13, Wani, M. Arif, editorAff14, Khoshgoftaar, Taghi M., editorAff15, Palade, Vasile, editorAff16
المصدر: Deep Learning Applications, Volume 2. 1232:81-99
قاعدة البيانات: Springer Nature eBooks
الوصف
ردمك:9789811567582
9789811567599
DOI:10.1007/978-981-15-6759-9_4