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Physical Sciences → Engineering → Control and Systems Engineering

Fault Detection and Control Systems

This cluster of papers focuses on the application of various data-driven and statistical techniques for process fault detection and diagnosis in industrial settings. It covers topics such as process monitoring, fault isolation, soft sensors, model-based diagnosis, and the use of machine learning in analyzing and improving industrial processes.

144K works worldwide1.5M citations
Process MonitoringFault DetectionData-Driven TechniquesStatistical AnalysisSoft SensorsModel-Based DiagnosisIndustrial ProcessesMultivariate Statistical MethodsFault IsolationMachine Learning

Journals publishing in this area

Articles on Scinovex in this research area

12 articles, most cited first

  1. Biochemical process optimization via statistical methods: A mini review
    International Journal of Statistics and Applied Mathematics · 2023 · 7 citations · AI summary
  2. A robust measure of pairwise distance estimation approach: RD-RANSAC
    International Journal of Statistics and Applied Mathematics · 2017 · 2 citations · AI summary
  3. The robust regression estimators: Performance & evaluation
    International Journal of Statistics and Applied Mathematics · 2023 · 1 citations · AI summary
  4. Selection of multiple deferred sampling (0, 1) plan with zero – inflated poisson distribution based on quality region
    International Journal of Statistics and Applied Mathematics · 2019 · 1 citations
  5. Enhancing EWMA chart using CRSS for cost models: application to implantable cardioverter-defibrillator monitor
    International Journal of Statistics and Applied Mathematics · 2026 · 0 citations
  6. Development of six sigma-based control chart for standard deviation under robust measure
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
  7. Construction and selection of conditional double sampling plan indexed through AOQcc
    International Journal of Statistics and Applied Mathematics · 2023 · 0 citations · AI summary
  8. Bayesian approach to control charts for process precision
    International Journal of Statistics and Applied Mathematics · 2023 · 0 citations · AI summary
  9. A hybrid statistical empirical mode decomposition with neural network in time series forecasting
    International Journal of Statistics and Applied Mathematics · 2019 · 0 citations · AI summary
  10. Control charts and cusum charts under linear trend with log-logistic distribution
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  11. Profit analysis of two unit poly wrapping system with preventive maintenance and Degradation
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  12. Maximum probability estimation for an autoregressive process
    International Journal of Statistics and Applied Mathematics · 2017 · 0 citations · AI summary