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Hot-Pressing Furnace Current Monitoring and Predictive Maintenance System in Aerospace Applications.
- Source :
-
Sensors (14248220) . Feb2023, Vol. 23 Issue 4, p2230. 17p. - Publication Year :
- 2023
-
Abstract
- This research combines the application of artificial intelligence in the production equipment fault monitoring of aerospace components. It detects three-phase current abnormalities in large hot-pressing furnaces through smart meters and provides early preventive maintenance. Different anomalies are classified, and a suitable monitoring process algorithm is proposed to improve the overall monitoring quality, accuracy, and stability by applying AI. We also designed a system to present the heater's power consumption and the hot-pressing furnace's fan and visualize the process. Combining artificial intelligence with the experience and technology of professional technicians and researchers to detect and proactively grasp the health of the hot-pressing furnace equipment improves the shortcomings of previous expert systems, achieves long-term stability, and reduces costs. The complete algorithm introduces a model corresponding to the actual production environment, with the best model result being XGBoost with an accuracy of 0.97. [ABSTRACT FROM AUTHOR]
- Subjects :
- *FURNACES
*ARTIFICIAL intelligence
*SMART meters
*EXPERT systems
*HEATING
*ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 23
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Sensors (14248220)
- Publication Type :
- Academic Journal
- Accession number :
- 162163434
- Full Text :
- https://doi.org/10.3390/s23042230