Article,
Cases of sensor fault assessment
Contributors
Amador, Sandro Diord Rescinho
0000-0003-3045-2916
[1]
Koss, H Holger H
0000-0002-0274-4340
[1]
Tarpø, Marius
0000-0002-7480-6408
[2]
Brincker, Rune
0000-0002-5344-1649
[3]
Affiliations
- [1] Technical University of Denmark [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
- [2] Ramboll (Denmark) [NORA names: Ramboll Group; Private Research; Denmark; Europe, EU; Nordic; OECD];
- [3] Brincker Monitoring ApS, Rosenborggade 10, 1130 København K, Denmark [NORA names: Denmark; Europe, EU; Nordic; OECD]
Abstract
The field of structural health monitoring (SHM) is based on collecting data, and according to that, useful information about the monitored structures is obtained. Therefore, it is essential that the signals from the sensors used in the monitoring campaign can be trusted. However, some of these sensors will sometimes fail or will, at least, pick up excessive noise that might influence the quality of the information extracted from the data. In this paper, a new technique of sensor fault detection is illustrated that is based on constraints between multiple output signals from the monitored structures.
Keywords
campaign,
collected data,
constraints,
data,
detection,
excess noise,
fault detection,
health monitoring,
information,
monitored structure,
monitoring,
monitoring campaign,
multiple output signals,
noise,
output signal,
quality,
sensor,
sensor fault detection,
signal,
structural health monitoring,
structure,
technique
