Damage detection using statistical process control

摘要

Structural health monitoring is described in the context of a statistical process211u001econtrol paradigm. This process control techniques such as the Shewhart, the 211u001eexponentially weighted moving average, and the cumulative sum control charts to 211u001evibration-based damage diagnosis. The control limits are first constructed based 211u001eon the measurements obtained from the initial intact structure. Then, new data 211u001eare monitored against the control limits. A statistically significant number of 211u001eoutliners outside the control limits indicate a system transition from a healthy 211u001estate to a damage state. Environmental and operation conditions, such as 211u001etemperature change and the magnitude variation of the input forces, are also 211u001eincorporated into the monitoring process. Blind tests of various damage cases are 211u001econducted without prior knowledge of the actual damage scenarios to evaluate the 211u001eperformance of the presented control chart techniques.