Data reconciliation & gross error detection: an intelligent use of process data
作者： Cornelius Jordache , Shankar Narasimhan
DOI:
关键词: Data mining 、 Error detection and correction 、 Nonlinear system 、 Wireless sensor network 、 Steady state (electronics) 、 Theoretical computer science 、 Computer science 、 Linear algebra 、 Observational error 、 Statistical hypothesis testing 、 Graph theory
摘要: : Introduction. Measurement Errors and Error Reduction Techniques. Steady State Data Reconciliation for Bilinear Systems. Nonlinear Reconciliation. in Dynamic Introduction to Gross Detection. Multiple Identification Strategies Processes. Detection Design of Sensor Networks. Industrial Applications Technologies. Appendix A: Basic concepts linear algebra. B: Graph Theory. C: Statistical Hypotheses Testing.
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