Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties
Faults in the critical components of a large rotatory machine often result in unplanned breakdowns, leading to a significant loss of property and life. Condition monitoring, as a key component in the smart maintenance of industrial equipment, has become a promising tool for providing automatic early...
Saved in:
| Main Authors: | Xiaomo Jiang, Weijian Tang, Haixin Zhao, Xueyu Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9791218/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fault Diagnosis of Chillers Based on Neural Network and Wavelet Denoising
by: Shi Shubiao, et al.
Published: (2016-01-01) -
Fault Detection and Protection Strategy for Multi-Terminal HVDC Grids Using Wavelet Analysis
by: Jashandeep Kaur, et al.
Published: (2025-02-01) -
Traveling Wave and Wavelet Based Fault Location Detection in Microgrids
by: Muhammed Oğuz Korkmaz, et al.
Published: (2019-06-01) -
A Survey of Fault Diagnosis Technology for Converter
by: WANG Zhihong, et al.
Published: (2014-01-01) -
Inverter Open-circuit Fault Diagnosis and Its Fault-tolerant Method Based on Three-phase Current Detection
by: WANG Zhi-yuan, et al.
Published: (2014-01-01)