Influence of Sensor Network Sampling Rate on Multivariate Statistical Condition Monitoring of Industrial Machines and Processes

Autor: Tizian Schneider, Nikolai Helwig, Steffen Klein, Andreas Schütze
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Proceedings, Vol 2, Iss 13, p 781 (2018)
Druh dokumentu: article
ISSN: 2504-3900
DOI: 10.3390/proceedings2130781
Popis: In this paper, the deterioration of statistical fault classification of a hydraulic system and an electromechanical cylinder EMC due to reduced sampling rates of sensor nets is shown. As a result, two types of faults can be distinguished: On the one hand, degradation processes which primarily show static symptoms over the whole working cycle and, thus, are less susceptible to reduced time resolution; on the other hand, the detection of faults with symptoms localized in time, e.g., during transients, is significantly degraded. Furthermore, the EMC example shows the importance of data representation that needs to be adapted to the sampling rate.
Databáze: Directory of Open Access Journals