Two General Architectures for Intelligent Machine Performance Degradation Assessment
Markov model is of good ability to infer random events whose likelihood depends on previous events. Based on this theory, hidden Markov model serves as an extension of Markov model to present an event from observations rather than states in Markov model. Moreover, due to successful applications in s...
Saved in:
| Main Authors: | Yanwei Xu, Aijun Xu, Tancheng Xie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/676959 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Intelligent Diagnosis of Subway Traction Motor Bearing Fault Based on Improved Stacked Denoising Autoencoder
by: Yanwei Xu, et al.
Published: (2021-01-01) -
Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network
by: Yanwei Xu, et al.
Published: (2021-01-01) -
Machine Learning in Intelligent Networks: Architectures, Techniques, and Use Cases
by: Elias Dritsas, et al.
Published: (2025-01-01) -
Multi-Stress Accelerated Degradation Testing Reliability Assessment of LED Lamp Beads Considering Generalized Coupling
by: Yinglong Dong, et al.
Published: (2024-09-01) -
Machine Learning based OTN Network Performance Degradation Prediction
by: CHEN Liping, et al.
Published: (2025-04-01)