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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM30067
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Since the first attempts of Structural Health Monitoring the Vienna Consulting Engineers (VCE) have been involved to advance the BRIMOS technology which offers a wide range of services to engineers and operators of infrastructure networks. Over the last decade the dynamic behavior of hundreds of structures has been measured and evaluated. However, the current practice in Structural Health Monitoring is still a case to case approach which needs a lot of experience for proper interpretation and assessment of the investigated objects. The integration of new technologies is wanted to support and automate the evaluation process as well as increase the objectivity within the assessment routines. This paper shall indicate the need for innovate methods and tools from a user’s point of view and gives a short insight to the workflow and infrastructure of BRIMOS. The efforts which are undertaken within the BRIMOS infrastructure show the approach towards the application of data mining instruments to benefit for future and also from past monitoring projects. Datamining, Time Series Analysis, Knowledge Base, Structural Health Monitoring
KEYWORDS
Publication Date
12/31/45390
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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