Abstract
The present invention discloses a non-intrusive elevator condition monitoring method based on a deep learning model, comprises the steps of: extracting multi-variant signals from non-intrusive current sensors (102); aggregating and converting the extracted multivariant signals into processable uniformed signal data (104); integrating the uniformed signal data segments into a deep learning
model (106); training the deep learning model with validation and testing (108); and monitoring the condition and detecting anomaly
of the elevator based on the deep learning model (110)
model (106); training the deep learning model with validation and testing (108); and monitoring the condition and detecting anomaly
of the elevator based on the deep learning model (110)
| Original language | English |
|---|---|
| Patent number | HK30085577 |
| Filing date | 5/06/23 |
| Publication status | Published - 2024 |
| Externally published | Yes |