May 3, 2024, 4:53 a.m. | Stephan Schmidt, Daniel N. Wilke, Konstantinos C. Gryllias

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.00727v1 Announce Type: cross
Abstract: In vibration-based condition monitoring, optimal filter design improves fault detection by enhancing weak fault signatures within vibration signals. This process involves optimising a derived objective function from a defined objective. The objectives are often based on proxy health indicators to determine the filter's parameters. However, these indicators can be compromised by irrelevant extraneous signal components and fluctuating operational conditions, affecting the filter's efficacy. Fault detection primarily uses the fault component's prominence in the squared envelope …

abstract application arxiv cs.lg design detection eess.sp filter function gear health monitoring noise optimisation process signal spectrum speed stat.me type

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