Research on Fault Diagnosis Method for Diesel Engine Fuel System based on Model-Softmax
Author:
Affiliation:
1. School of Mechanical Engineering, Tianjin University,Tianjin,China
Funder
National Natural Science Foundation (NNSF)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9964479/9964492/09964611.pdf?arnumber=9964611
Reference20 articles.
1. Diesel engine fault diagnosis using intrinsic time-scale decomposition and multistage Adaboost relevance vector machine
2. A New Engine Fault Diagnosis Method Based on Multi-Sensor Data Fusion
3. Research on Fault Diagnosis of Diesel Engine Based on PSO-SVM;zhang;Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation,2015
4. Multi-level hybrid support vector machine and extreme learning machine based on modified K-means for intrusion detection system
5. Fault diagnosis for centrifugal pumps using deep learning and softmax regression
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