Sensor fault diagnosis for nonlinear processes with parametric uncertainties

Srinivasan Rajaraman; Juergen Hahn; M. Sam Mannan

doi:10.1016/j.jhazmat.2005.07.037

ScienceGate Book Chapters

JOURNAL ARTICLE

Sensor fault diagnosis for nonlinear processes with parametric uncertainties

Srinivasan Rajaraman Juergen Hahn M. Sam Mannan

Year: 2005 Journal: Journal of Hazardous Materials Vol: 130 (1-2)Pages: 1-8 Publisher: Elsevier BV

DOI: 10.1016/j.jhazmat.2005.07.037

Get Full-Text PDF Get Analytical Report

Keywords:

Nonlinear system Parametric statistics Fault (geology) Fault detection and isolation Estimator A priori and a posteriori Process (computing) Filter (signal processing) Computer science Identification (biology) Algorithm Control theory (sociology) Engineering Data mining Artificial intelligence Mathematics Statistics

Metrics

Cited By

1.89

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Advanced Control Systems Optimization

Physical Sciences → Engineering → Control and Systems Engineering

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Sensor fault diagnosis for nonlinear processes with parametric uncertainties

Metrics

Citation History

Topics

Related Documents

Sensor fault diagnosis in nonlinear and time-delay system with uncertainties

A Methodology for Fault Detection, Isolation, and Identification for Nonlinear Processes with Parametric Uncertainties

Active Fault Diagnosis for Nonlinear Systems with Probabilistic Uncertainties

SENSOR FAULT DIAGNOSIS IN DYNAMIC PROCESSES

Fault diagnosis in multimode nonlinear processes