A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor
Abstract
References
Index Terms
- A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor
Recommendations
An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks
This paper presents an approach to implement vibration, pressure, and current signals for fault diagnosis of the valves in reciprocating compressors. Due to the complexity of structure and motion of such compressor, the acquired vibration signal ...
The new fault diagnosis method of wavelet packet neural network on pump valves of reciprocating pumps
CCDC'09: Proceedings of the 21st annual international conference on Chinese control and decision conferenceTwo key issues of fault diagnosis for the pump valves of reciprocating pump are extracting the fault feature information of non stationary time variation process efficiently from system feature signals and classifying the faults feature correctly. A new ...
On undetectable faults and fault diagnosis
The presence of an undetectable fault ui may modify the response of a detectable fault dj to a test set used for fault diagnosis. This may impact the accuracy of fault diagnosis based on the responses of single faults. Many state-of-the-art diagnosis ...
Comments
Information & Contributors
Information
Published In
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Author Tags
Qualifiers
- Research-article
Funding Sources
- National Natural Science Foundation of China
- Natural Science Foundation of Tianjin City
- Tianjin Science and Technology Correspondent Project
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in