A novel geometric approach to the nondestructive identification of faults in stochastic structural systems, based on vibration test data, is introduced. The approach uses a partial and reduced-order dynamic system model, a properly selected stochastic feature space, the notion of fault mode as the union of all faults of one particular cause, and its approximate geometric representation as subspace of the feature space. Fault identification is accom- plished by determining the fault mode subspace within which the current fault lies.
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