An End-to-End model based on CNN-LSTM for Industrial Fault Diagnosis and Prognosis

2018 ◽  
Author(s):  
Gao Yue ◽  
Gong Ping ◽  
Li Lanxin
Keyword(s):  
Fault Diagnosis ◽  
Model Based ◽  
Diagnosis And Prognosis ◽  
End To End ◽  
Fault Diagnosis And Prognosis

scholarly journals Model-based fault diagnosis and prognosis of dynamic systems: a review

2019 ◽  
Vol 30 ◽  
pp. 435-442 ◽  
Author(s):  
Thushara Ekanayake ◽  
Devapriya Dewasurendra ◽  
Sunil Abeyratne ◽  
Lin Ma ◽  
Prasad Yarlagadda
Keyword(s):  
Fault Diagnosis ◽  
Dynamic Systems ◽  
Model Based ◽  
Diagnosis And Prognosis ◽  
Fault Diagnosis And Prognosis

scholarly journals Special Issue “Advances in Machine Learning and Deep Learning Based Machine Fault Diagnosis and Prognosis”

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 532
Author(s):  
Mohand Djeziri ◽  
Marc Bendahan
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Fault Diagnosis ◽  
Special Issue ◽  
Maintenance Strategies ◽  
Corrective Maintenance ◽  
Diagnosis And Prognosis ◽  
Machine Fault Diagnosis ◽  
Failure Prognosis ◽  
Fault Diagnosis And Prognosis

Fault diagnosis and failure prognosis aim to reduce downtime of the systems and to optimise their performance by replacing preventive and corrective maintenance strategies with predictive or conditional ones [...]

Self-Powered RFID Sensor Tag for Fault Diagnosis and Prognosis of Transformer Winding

2017 ◽  
Vol 17 (19) ◽  
pp. 6418-6430 ◽  
Author(s):  
Tao Wang ◽  
Yigang He ◽  
Qiwu Luo ◽  
Fangming Deng ◽  
Chaolong Zhang
Keyword(s):  
Fault Diagnosis ◽  
Diagnosis And Prognosis ◽  
Transformer Winding ◽  
Self Powered ◽  
Fault Diagnosis And Prognosis
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