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Characterization of System Status Signals for Multivariate Time Series Discretization Based on Frequency and Amplitude Variation
Many fault detection methods have been proposed for monitoring the health of various industrial systems. Characterizing the monitored signals is a prerequisite for selecting an appropriate detection method. However, fault detection methods tend to be decided with user’s subjective knowledge or their...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795535/ https://www.ncbi.nlm.nih.gov/pubmed/29316731 http://dx.doi.org/10.3390/s18010154 |