Application of Unsupervised Anomaly Detection techniques to Moisture Content data from wood constructions

Faura, Álvaro García (avtor), Štepec, Dejan (avtor), Cankar, Matija (avtor), Humar, Miha (avtor)

Wood is considered one of the most important construction materials, as well as a natural material prone to degradation, with fungi being the main reason for wood failure in a temperate climate. Visual inspection of wood or other approaches for monitoring are time-consuming, and the incipient stages of decay are not always visible. Thus, visual decay detection and such manual monitoring could be replaced by automated real-time monitoring systems. The capabilities of such systems can range from simple monitoring, periodically reporting data, to the automatic detection of anomalous measurements that may happen due to various environmental or technical reasons. In this paper, we explore the application of Unsupervised Anomaly Detection (UAD) techniques to wood Moisture Content (MC) data. Specifically, data were obtained from a wood construction that was monitored for four years using sensors at different positions. Our experimental results prove the validity of these techniques to detect both artificial and real anomalies in MC signals, encouraging further research to enable their deployment in real use cases.

• Jezik: Angleški jezik
• Ključne besede: wood moisture monitoring, Unsupervised Anomaly Detection (UAD), Moisture Content (MC) data, wooden facade, wooden windows
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: BF - Biotehniška fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: 19 str.
• Številčenje: Vol. 12, iss. 2, art. 194
• PID: 20.500.12556/RUL-135050
• UDK: 630*8
• ISSN pri članku: 1999-4907
• DOI: 10.3390/f12020194
• COBISS.SI-ID: 50590467
• Datum objave v RUL: 18.02.2022

Gradivo je del revije

• Naslov: Forests
• Skrajšan naslov: Forests
• Založnik: MDPI
• ISSN: 1999-4907
• COBISS.SI-ID: 3872166

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 08.02.2021

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: vlažnost lesa, monitoring vlažnosti lesa, lesena okna, lesena fasada, nenadzorovano odkrivanje nepravilnosti

Projekti

• Financer: Drugi - Drug financer ali več financerjev
• Program financ.: Republic of Slovenia, Ministry of Education, Science, and Sport
• Številka projekta: 5441-2/2017/241
• Akronim: WOOLF

• Financer: EC - European Commission
• Program financ.: European Regional Development Fund
• Akronim: WOOLF