| Title |
Smart knob integrated by artificial intelligence-based green manufacturing model for sustainable environment |
| ID_Doc |
32978 |
| Authors |
Zhao, ZY |
| Title |
Smart knob integrated by artificial intelligence-based green manufacturing model for sustainable environment |
| Year |
2023 |
| Published |
|
| DOI |
10.1007/s00170-023-12104-7 |
| Abstract |
Speed-torque performance, size, and cost factors, brushless dc motor motors (BLDCMs) are in exceptionally high demand in low-powered electrical vehicle as well as commercial applications. This research proposes a novel technique in smart knob for brushless motor based on fielded oriented control (FOC) in green manufacturing with machine learning techniques in industry 4.0. here the principle of brushless motor is developed based on smart knob with FOC. Then, the operation of brushless motor is monitored for fault analysis using convolutional Q-Gaussian hidden neural networks. The experimental analysis is carried out for the operation of brushless motor with their principle in terms of power density, peak power pulse, Model Accuracy, model loss, and Mean Average Error. Because sensor less technology has improved traditional control and sensing techniques, BLDC motor drivers now perform and operate more reliably. Then, recent innovations in this field are discussed, together with their benefits and disadvantages, and analysis is provided of their actual implementation problems and applications. |
| Author Keywords |
Smart knob; Brushless motor; FOC; Industry 4; 0; Machine learning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001047276100002 |
| WoS Category |
Automation & Control Systems; Engineering, Manufacturing |
| Research Area |
Automation & Control Systems; Engineering |
| PDF |
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