Statistical damage classification using sequential probability ratio tests
Structural health monitoring using modular wireless sensors
Novelty detection in a changing environment: Regression and interpolation approaches
Statistical damage classification under changing environmental and operational conditions
Structural health monitoring using statistical pattern recognition techniques
Damage diagnosis using experimental Ritz vectors
Vibration-based damage detection using statistical process control
Damage diagnosis using time series analysis of vibration signals
Application of non-linear system model updating using feature extraction and parameter effects analysis
Extraction of Ritz vectors from vibration test data
