Kai-xiang Peng

Control and Systems Engineering · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai-xiang Peng trusts overall

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

  1. S. Qin
  2. Jie Yu
  3. Leo H. Chiang
  4. Richard D. Braatz

Papers from Kai-xiang Peng's perspective

Ordered by how strongly the researchers Kai-xiang Peng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Statistical process monitoring: basics and beyond
  2. Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
  3. Γ and B
  4. AND T
  5. A nonlinear kernel Gaussian mixture model based inferential monitoring approach for fault detection and diagnosis of chemical processes
  6. A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
  7. I and i
  8. Multimode process monitoring with Bayesian inference‐based finite Gaussian mixture models
  9. Fault identification for process monitoring using kernel principal component analysis
  10. Deep Learning

Their papers