Brief Subspace-based fault detection algorithms for vibration monitoring

Authors:
MichèLe Basseville;Maher Abdelghani;Albert Benveniste
Affiliations:
IRISA, Campus Universitaire de Beaulieu, 35042 Rennes Cedex, France;IRISA, Campus Universitaire de Beaulieu, 35042 Rennes Cedex, France;IRISA, Campus Universitaire de Beaulieu, 35042 Rennes Cedex, France
Venue:
Automatica (Journal of IFAC)
Year:
2000

Citing 13
Cited 4

Detection and diagnosis of abrupt changes in modal characteristics of nonstationary digital signals

IEEE Transactions on Information Theory
Generalized principal components analysis and its application in approximate stochastic realization

Modelling and applications of stochastic processes
Detection and diagnosis of changes in the eigenstructure of nonstationary multivariable systems

Automatica (Journal of IFAC)
Fault diagnosis in dynamic systems: theory and application

Fault diagnosis in dynamic systems: theory and application
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
Early warning of slight changes in systems

Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
Subspace-based methods for the identification of linear time-invariant systems

Automatica (Journal of IFAC) - Special issue on trends in system identification
Canonical correlation analysis, approximate covariance extension, and identification of stationary time series

Automatica (Journal of IFAC)
Information criteria for residual generation and fault detection and isolation

Automatica (Journal of IFAC)
Analysis of state space system identification methods based on instrumental variables and subspace fitting

Automatica (Journal of IFAC)
Paper: A survey of design methods for failure detection in dynamic systems

Automatica (Journal of IFAC)
On-board Component Fault Detection and Isolation Using the Statistical Local Approach

Automatica (Journal of IFAC)

Subspace-based algorithms for structural identification, damage detection, and sensor data fusion

EURASIP Journal on Applied Signal Processing
One shot schemes for decentralized quickest change detection

IEEE Transactions on Information Theory
Fault detection for discrete-time systems in a networked environment

International Journal of Systems Science - Fault Diagnosis and Fault Tolerant Control
Subspace-based fault detection robust to changes in the noise covariances

Automatica (Journal of IFAC)

Quantified Score

Hi-index	22.21

Visualization

Abstract

We address the problem of detecting faults modeled as changes in the eigenstructure of a linear dynamical system. This problem is of primary interest for structural vibration monitoring. The purpose of the paper is to describe and analyze new fault detection algorithms, based on recent stochastic subspace-based identification methods and the statistical local approach to the design of detection algorithms. A conceptual comparison is made with another detection algorithm based on the instrumental variables identification method, and previously proposed by two of the authors.