Estimating spatial and temporal patterns of defects

Matthew Plumlee, Jianjun Shi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This work investigates the use of stochastic modeling and statistical estimation to study patterns of defects in or on products. We conjecture about underlying defect patterns by estimating the unknown intensity function based on the observed defects. This work does not assume the patterns follow a parametric form and therefore the described estimate is flexible enough to be used in many different production settings. Details for estimation are provided and an example is presented using data collected from a steel rolling process.

Original languageEnglish (US)
Pages (from-to)25-27
Number of pages3
JournalManufacturing Letters
Issue number1
StatePublished - Oct 2013


  • Inhomogeneous process
  • Point process
  • Statistical process control
  • Steel rolling
  • Surface quality

ASJC Scopus subject areas

  • Mechanics of Materials
  • Industrial and Manufacturing Engineering


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