Deep learning techniques in intelligent fault diagnosis and prognosis for industrial systems: a review

HIGHLIGHTS

  • who: Shaohua Qiu and collaborators from the National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan, China have published the article: Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review, in the Journal: Sensors 2023, 23, 1305. of /2023/
  • what: A comprehensive review of Big Data-driven intelligent FDP for mechanical systems was given by Lei et_al , wherein the latest cutting-edge research results are focused, e_g, deep transfer learningbased FD, Big Data-driven RUL prediction, data-model fusion prognosis, etc. From . . .

     

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