Perspective Chapter: Fault Detection and Predictive Maintenance of Electrical Machines
Nowadays, most domestic and industrial fields are moving toward Industry 4.0 standards and integration with information technology. To decrease shutdown costs and minimize downtime, manufacturers switch their production to predictive maintenance. Algorithms based on machine learning can be used to m...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2022
|
| Subjects: | |
| Online Access: | https://www.intechopen.com/chapters/83777 |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Perspective Chapter: Fault Detection and Predictive Maintenance of Electrical Machines
- Perspective Chapter: Data Mining in Electrical Machine Maintenance Reports
- Perspective Chapter: Fundaments on Fault Tolerance for Electrical Machines’ Structures
- Perspective Chapter: Computation of Wind Turbine Power Generation, Anomaly Detection and Predictive Maintenance
- Perspective Chapter: PRA and Protective System Maintenance
- Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learning
- Analysis of electrical losses in machine-tools by using predictive maintenance thermography