Health monitoring of welded structures using statistical process control

This paper presents health monitoring of welded structures using acceleration time response data. Residual errors are extracted from the measured acceleration time response data using an auto-regressive model. Damage identification is done by monitoring the residual errors using Shewhart and exponen...

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Bibliographic Details
Published in:Mechanical systems and signal processing 2012-02, Vol.27, p.683-695
Main Authors: Srinivasa Rao, Putti, Ratnam, Ch
Format: Article
Language:English
Subjects:
Acceleration
Acceleration time response data
AR model
Control charts
Damage
Damage identification
Errors
EWMA control charts
Health monitoring (engineering)
Piezoelectricity
Residual errors
Shewhart control charts
Time response
Welded structures
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Summary:This paper presents health monitoring of welded structures using acceleration time response data. Residual errors are extracted from the measured acceleration time response data using an auto-regressive model. Damage identification is done by monitoring the residual errors using Shewhart and exponentially weighted moving average control charts. The applicability of the proposed method is tested with the welded structure model. Five damage levels are investigated and the damage is introduced by cutting a slot in the weld using an electrical discharge machine. Acceleration time response data are collected using piezoelectric sensors for all damage levels. The results show that both Shewhart and exponentially weighted moving average control charts are capable of identifying the presence of damage in the welded structure model under consideration. Exponentially weighted moving average control charts are more sensitive in damage identification than Shewhart control charts.
ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2011.09.023