Damage localization from projections of free vibration signals

Damage diagnosis using time series analysis of vibration signals

A novel time series analysis is presented to locate damage sources in a mechanical system, which is running in various operational environments. The source of damage is located by solely analyzing the acceleration time histories recorded from a structure of interest. First, a data normalization procedure is proposed. This procedure selects a reference signal that is ‘closest’ to a newly obtaine...

Damage Localization under Ambient Vibration Using Changes in Flexibility

In recent years, Structural Health Monitoring (SHM) has emerged as a new research area in civil engineering. Most existing health monitoring methodologies require direct measurement of input excitation for implementation. However, in many cases, there is no easy way to measure these inputs – or alternatively, to externally excite the structure. Therefore, SHM methods based on ambient vibration ...

Vibration-Based Damage Localization in Flexural Structures Using Normalized Modal Macrostrain Techniques from Limited Measurements

1 A Dantzig-Wolfe Decomposition-Based Heuristic for Off-line Capacity Calibration of Dynamic Traffic Assignment / D.-Y. Lin. V. Vatsaraj, S.T. Waiter 16 Influence of Demand Uncertainty and Correlations on Traffic Predictions and Decisions / J.C. Duthie.A. Unnikrishnan, S.T. Waiter 30 Peak Ground Acceleration Estimation by Linear and Nonlinear Models with Reduced Order Monte Carlo Simulation / K...

Understanding random Vibration signals

Fast Reconstruction of Piecewise Smooth Signals from Incoherent Projections

The Compressed Sensing framework aims to recover a sparse signal from a small set of projections onto random vectors; the problem reduces to searching for a sparse approximation of this measurement vector. Conventional solutions involve linear programming or greedy algorithms and can be computationally expensive. These techniques are generic, however, and assume no structure in the signal aside...