A framework for dynamic risk assessment with condition monitoring data and inspection data

Volume: 191, Pages: 106552 - 106552
Published: Nov 1, 2019
Abstract
In this paper, a framework is proposed for integrating condition monitoring and inspection data in Dynamic risk assessment (DRA). Condition monitoring data are online-collected by sensors and indirectly relate to component degradation; inspection data are recorded in physical inspections that directly measure the component degradation. A Hidden Markov Gaussian Mixture Model (HM-GMM) is developed for modeling the condition monitoring data and a...
Paper Details
Title
A framework for dynamic risk assessment with condition monitoring data and inspection data
Published Date
Nov 1, 2019
Volume
191
Pages
106552 - 106552
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.