Lei Shu

Control and Systems Engineering · with Lu · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Shu trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. A. Głowacz (in Control and Systems Engineering)

Papers from Lei Shu's perspective

Ordered by how strongly the researchers Lei Shu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning (IEEE Transactions on Industrial Informatics)
  2. Digital twin-driven product design framework (International Journal of Production Research)
  3. Applications of machine learning to machine fault diagnosis: A review and roadmap
  4. Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine (Mechanical systems and signal processing)
  5. Fault diagnosis of single-phase induction motor based on acoustic signals (Mechanical systems and signal processing)
  6. Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network (IEEE transactions on industrial electronics (1982. Print))
  7. A transfer convolutional neural network for fault diagnosis based on ResNet-50 (Neural computing & applications (Print))
  8. Searching for Activation Functions
  9. Failure diagnosis using deep belief learning based health state classification
  10. A sparse auto-encoder-based deep neural network approach for induction motor faults classification

Their papers