Application of unsupervised anomaly detection techniques to moisture content data from wood constructions
Abstract
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.
Keywords
vlažnost lesa;monitoring vlažnosti lesa;lesena okna;lesena fasada;enadzorovano odkrivanje nepravilnosti;wood moisture monitoring;Unsupervised Anomaly Detection;moisture content data;wooden facade;wooden windows;
Data
| Language: | English |
|---|---|
| Year of publishing: | 2021 |
| Typology: | 1.01 - Original Scientific Article |
| Organization: | UL BF - Biotechnical Faculty |
| UDC: | 630*8 |
| COBISS: |
50590467
|
| ISSN: | 1999-4907 |
| Views: | 140 |
| Downloads: | 44 |
| Average score: | 0 (0 votes) |
| Metadata: |
|
Other data
| Secondary language: | Slovenian |
|---|---|
| Secondary keywords: | vlažnost lesa;monitoring vlažnosti lesa;lesena okna;lesena fasada;nenadzorovano odkrivanje nepravilnosti; |
| Type (COBISS): | Article |
| Pages: | 1-19 str. |
| Volume: | ǂVol. ǂ12 |
| Issue: | ǂiss. ǂ2 |
| Chronology: | 2021 |
| DOI: | 10.3390/f12020194 |
| ID: | 14562755 |
Recommended works:
Application of unsupervised anomaly detection techniques to moisture content data from wood constructions
2021,
no subtitle data available
Pomen zaščite čelnega lesa pri lesenih oknih
1998,
no subtitle data available
Lesene fasade
2016,
projektna naloga univerzitetnega študijskega programa 1. stopnje
Spremljanje vlažnosti lesa v lopi, izdelani iz termično modificiranega lesa
2015,
diplomski projekt
Trajnostna predelava lesa
2017,
diplomska naloga višjega strokovnega izobraževanja