An intelligent data fusion framework for structural health monitoring

Dawei Sun, Vincent CS Lee, Ye Lu

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

15 Citations (Scopus)


We propose a structural health monitoring framework that is based on the hybrid intelligent systems to compute composite structure health index as structure health indicator. With our proposed health structure monitor framework, it provides a decision-level analysis for structure health monitoring. In contrast, recent studies focus on signal processing, mechanical modelling and computer based systems, which are not robust enough to provide decision-level analysis confronted with heterogeneous data sources. Therefore, data fusion technique is required to alleviate possibilities of data conflicts, lack of conciseness and incompleteness that arise from the heterogeneous data sources to compute composite structure health index, which is essential for risk analysis. Our proposed intelligent data fusion framework is based on hybrid adaptive resonant theory neural network (superior learning from dynamic data) and adaptive fuzzy inference (superior reasoning with dynamic fuzzy rules derived from time series data formulated membership functions) systems. The outcome of our proposed framework is a structure composite health index, an aggregated index via optimal weighted variables. We implement our framework using a set of GPS and Wind velocity sensors output from a real bridge to evaluate our framework. These sensors data used in our study are collected from long cable-bridge. Our case study showed that our proposed intelligent data fusing framework is capable of reporting the structural status correctly.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA 2016)
Subtitle of host publicationHefei, China, 5-7 June 2016
EditorsWenxiang Xie, Cungang Hu, Weihai Chen
Place of PublicationPiscataway, NJ
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781467386449
ISBN (Print)9781467386456
Publication statusPublished - 19 Oct 2016
EventIEEE Conference on Industrial Electronics and Applications 2016 - Hefei Swan Lake Hotel, Hefei Anhui, China
Duration: 5 Jun 20167 Jun 2016
Conference number: 11th (Proceedings)


ConferenceIEEE Conference on Industrial Electronics and Applications 2016
Abbreviated titleICIEA 2016
CityHefei Anhui
Internet address


  • Structural health monitoring
  • Intelligence system
  • Data fusion

Cite this