Elevator Running Fault Monitoring Method Based on Vibration Signal
According to the one-dimensional characteristics of the vibration signal, this paper proposes an elevator operation fault monitoring method based on one-dimensional convolutional neural network (1-DCNN). It can solve the problems of traditional elevator fault monitoring methods that require complex...
Saved in:
| Main Authors: | Mingxing Jia, Xiongfei Gao, Hongru Li, Hali Pang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/4547030 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bogie Running-in Test of Fault Monitoring Experiment on Rolling Stock Based on Microphone Array
by: Bo MA, et al.
Published: (2019-11-01) -
Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain
by: Jesus Adolfo Cariño-Corrales, et al.
Published: (2016-01-01) -
Bearing Fault Vibration Signal Feature Extraction and Recognition Method Based on EEMD Superresolution Sparse Decomposition
by: Zhang- Jian, et al.
Published: (2022-01-01) -
Vibration Signal-Based Fault Diagnosis of Rotary Machinery Through Convolutional Neural Network and Transfer Learning Method
by: Chirag Mongia, et al.
Published: (2025-05-01) -
Intelligent UAV health monitoring: Detecting propeller and structural faults with MEMS-based vibration
by: Temel Sonmezocak
Published: (2025-09-01)