New Methods of Structural Health Monitoring Based on Small Amount of Sensor Information and Artificial Intelligence(PDF)
《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]
- Issue:
- 2018年05期
- Page:
- 9-23
- Research Field:
- Publishing date:
Info
- Title:
- New Methods of Structural Health Monitoring Based on Small Amount of Sensor Information and Artificial Intelligence
- Author(s):
- MA Hong-wei; LIN Yi-zhou; NIE Zhen-hua
- School of Environment and Civil Engineering, Dongguan University of Technology
- Keywords:
- structural health monitoring; sensor; artificial intelligence; deep learning
- PACS:
- -
- DOI:
- -
- Abstract:
- The current problems and challenges of structural health monitoring (SHM) in engineering application were analyzed. Due to the high consumption of sensors, high cost, and difficulties in handling massive data, new methods using small amount of sensor information and artificial intelligence (AI) should be developed. The method using multiple phase spaces of multi-type responses of single measurement point information, and the method using reconstructed phase space of single sensor information were introduced. Based on the method using moving cross-correlation of two sensors information, the method using moving transfer entropy of two sensors information was presented. The method using small amount of sensors based on moving principal component analysis (MPCA) was also introduced. These methods and wavelet packet energy method and covariance matrix of covariance were applied on Humen Bridges for five years. The AI method based on deep learning and its development and potential in SHM were expounded. The development ideas combining small amount of sensors method with AI in the future application of SHM were considered. The results indicate that the method using reconstructed phase space of single sensor information is more suitable to practical engineering. The method using moving crosscorrelation of two sensors information and moving transfer entropy of two sensors information methods both can locate the damage well. The MPCA is most suitable to the realtime monitoring.
Last Update: 2018-09-03