Multi-variable classification model for valve internal leakage based on acoustic emission time–frequency domain characteristics and random forest
Author:
Affiliation:
1. School of Electrical and Automation Engineering, Hefei University of Technology, Hefei 230009, People’s Republic of China
2. Engineering Technology Research Center of Industrial Automation, Hefei, Anhui 230009, People’s Republic of China
Publisher
AIP Publishing
Subject
Instrumentation
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0024611
Reference18 articles.
1. Spectral analysis of internally leaking shut-down valves
2. A study of the characteristics of the acoustic emission signals for condition monitoring of check valves in nuclear power plants
3. Improved monitoring of acoustic emissions in concrete structures by multi-triggering and adaptive acquisition time interval
4. Deep belief network-based internal valve leakage rate prediction approach
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