Siliang Lu

Control and Systems Engineering · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Siliang Lu trusts overall

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

  1. Jérôme Antoni

Who trusts Siliang Lu overall

  1. Xiang Li
  2. Jing Liu

Papers from Siliang Lu's perspective

Ordered by how strongly the researchers Siliang Lu 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. Applications of machine learning to machine fault diagnosis: A review and roadmap
  3. Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network (IEEE transactions on industrial electronics (1982. Print))
  4. Digital twin-driven product design framework (International Journal of Production Research)
  5. Searching for Activation Functions
  6. Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine (Mechanical systems and signal processing)
  7. Fault diagnosis of single-phase induction motor based on acoustic signals (Mechanical systems and signal processing)
  8. A transfer convolutional neural network for fault diagnosis based on ResNet-50 (Neural computing & applications (Print))
  9. This PDF file includes: Materials and Methods
  10. Deep Learning

Their papers