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An assessment of anomaly detection methods applied to microtunnelling

Abstract:

The proliferation of data collected by modern tunnel boring machines presents a substantial opportunity for the application of data-driven anomaly detection (AD) techniques that can adapt dynamically to site specific conditions. Based on jacking forces measured during microtunneling, this paper explores the potential for AD methods to provide a more accurate and robust detection of incipient faults. A selection of the most popular AD methods proposed in the literature, comprising both cluster...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1061/(ASCE)GT.1943-5606.0002326

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-1462-1401
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-5460-5089
Publisher:
American Society of Civil Engineers Publisher's website
Journal:
Journal of Geotechnical and Geoenvironmental Engineering Journal website
Volume:
146
Issue:
9
Publication date:
2020-07-10
Acceptance date:
2020-04-06
DOI:
EISSN:
1943-5606
ISSN:
1090-0241
Language:
English
Keywords:
Pubs id:
1098751
Local pid:
pubs:1098751
Deposit date:
2020-04-06

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