Ningbo Li

Control and Systems Engineering · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ningbo Li trusts overall

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

  1. Naipeng Li
  2. Yaguo Lei
  3. Kamal Medjaher
  4. Noureddine Zerhouni
  5. Vladimir Naumovich Vapnik

Papers from Ningbo Li's perspective

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

  1. Residual life predictions from vibration-based degradation signals: a neural network approach (IEEE transactions on industrial electronics (1982. Print))
  2. Remaining useful life estimation based on nonlinear feature reduction and support vector regression (Engineering applications of artificial intelligence)
  3. Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling : A method for bearing prognostics
  4. Remaining useful life estimation - A review on the statistical data driven approaches (European Journal of Operational Research)
  5. Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network
  6. PRONOSTIA : An experimental platform for bearings accelerated degradation tests.
  7. Physically based diagnosis and prognosis of cracked rotor shafts (SPIE Defense + Commercial Sensing)
  8. Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction (Journal of Intelligent Manufacturing)
  9. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
  10. Prognosis of machine health condition using neuro-fuzzy systems

Their papers