A change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural condition assessment

@article{Lei2022ACD,
  title={A change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural condition assessment},
  author={Xinyi Lei and Zhicheng Chen and Hui Li and Shiyin Wei},
  journal={Structural Health Monitoring},
  year={2022}
}
Damage detection or structural condition assessment is an important objective of structural health monitoring (SHM). The damages or adverse changes in structural conditions can usually be manifested as pattern changes in damage-sensitive features (DSFs) extracted from SHM data; this enables us to shift damage detection to DSF change detection. Online monitoring can accumulate huge amounts of data, finding the changes from the massive DSF data through manual inspection is impractical; thus… 

Figures and Tables from this paper

References

SHOWING 1-10 OF 66 REFERENCES

Localized Structural Damage Detection: A Change Point Analysis

The effectiveness of features from a statistics based local damage detection algorithm called Influenced Coefficient Based Damage Detection Algo- rithm (IDDA) is expanded for a more complex structural system.

Change detection using the generalized likelihood ratio method to improve the sensitivity of guided wave structural health monitoring systems

The results presented here indicate that damage on the order of 0.1% cross section loss can reliably be detected with virtually zero false calls if the assumptions of the study are met, notably the absence of sensor drift with time.

Identification of Parametric Variations of Structures Based on Least Squares Estimation and Adaptive Tracking Technique

An important objective of health monitoring systems for civil infrastructures is to identify the state of the structure and to detect the damage when it occurs. System identification and damage

A novel framework of change-point detection for machine monitoring

Adaptive Change Detection for Long-Term Machinery Monitoring Using Incremental Sliding-Window

Compared with state-of-the-art methods, the proposed algorithm can be more suitable for long-term machinery condition monitoring without any manual re-calibration, thus is promising in modern industries.

Nonparametric analysis of structural health monitoring data for identification and localization of changes: Concept, lab, and real-life studies

Structural health monitoring systems integrate novel experimental technologies, analytical methods, and information technologies for a number of objectives such as detecting structural changes and

Change-point analysis as a tool to detect abrupt climate variations

  • C. BeaulieuJie ChenJ. Sarmiento
  • Environmental Science
    Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
  • 2012
A method known as the informational approach for change-point detection is extended to take into account the presence of autocorrelation in the model, showing good chances to detect an abrupt shift with a magnitude larger than that of the standard deviation in the series of observations.
...