Technical Communique: A note on nonparametric kernel smoothing for model-free fault symptom generation

Authors:
G. Fenu;T. Parisini
Affiliations:
Department of Electrical, Electronic, and Computer Engineering, University of Trieste, Via Valerio 10, 34175 Trieste, Italy;Department of Electronic Engineering and Information Sciences, Politecnico di Milano, P.za Leonardo da Vinci 32, 20133 Milano, Italy
Venue:
Automatica (Journal of IFAC)
Year:
1999

Citing 4
Cited 0

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

Automatica (Journal of IFAC)
Detection of abrupt changes: theory and application

Detection of abrupt changes: theory and application
Paper: A survey of design methods for failure detection in dynamic systems

Automatica (Journal of IFAC)
Process fault detection based on modeling and estimation methods-A survey

Automatica (Journal of IFAC)

Quantified Score

Hi-index	22.14

Visualization

Abstract

This note describes a novel approach to the generation of fault symptoms in nonlinear systems. The method is model-free, in that no analytical model of a plant is needed. The kernel smoother makes it possible to detect abrupt changes in the plant dynamics, possibly due to some malfunction. A simple sufficient condition for fault detectability is proved and experimental results on a real benchmark are reported.