Blind subspace-based eigenstructure identification under nonstationary excitation using moving sensors

• Published in: IEEE transactions on signal processing Vol. 50; no. 1; pp. 41 - 48
• Main Authors: Mevel, L., Benveniste, A., Basseville, M., Goursat, M.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.01.2002; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Applied sciences; Availability; Blinds; Computer science; control theory; systems; Consistency; Control theory. Systems; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Excitation; Handles; Information, signal and communications theory; Mechanical engineering; Mechanical sensors; Merging; MIMO; Modal analysis; Modelling and identification; Sensor systems; Sensors; Signal and communications theory; Signal processing; Signal, noise; State-space methods; Strain measurement; Telecommunications and information theory; Vibration measurement; MIMO system; Linear system; Modal analysis; Covariance; Subspace; Blind identification; System identification; Non stationary process; Structural analysis
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/78.972480

Subspace identification algorithms have proven efficient for performing output-only identification of the eigenstructure of a linear multi-input multi-output (MIMO) system subject to uncontrolled, unmeasured, and nonstationary excitation. Such a problem arises in mechanical engineering for modal analysis of vibrating structures. A common practice there is to collect data from varying sensor locations, using both fixed and moving sensors, in order to mimic the availability of a larger set of sensors. The purpose of this paper is to investigate how subspace-based identification can be adapted to handle such a situation, to prove its consistency under nonstationary excitation, and to report on a real application example.