scholarly journals Wind Turbine Planetary Gearbox Fault Diagnosis Based on Self-Powered Wireless Sensor and Deep Learning Approach

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 119430-119442 ◽  
Author(s):  
Li Lu ◽  
Yigang He ◽  
Tao Wang ◽  
Tiancheng Shi ◽  
Yi Ruan
Keyword(s):  
Deep Learning ◽  
Fault Diagnosis ◽  
Wind Turbine ◽  
Wireless Sensor ◽  
Learning Approach ◽  
Planetary Gearbox ◽  
Self Powered

scholarly journals Self-Powered Wireless Sensor for Fault Diagnosis of Wind Turbine Planetary Gearbox

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 87382-87395 ◽  
Author(s):  
Li Lu ◽  
Yigang He ◽  
Tao Wang ◽  
Tiancheng Shi ◽  
Bing Li
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Wireless Sensor ◽  
Planetary Gearbox ◽  
Self Powered

Transformer Fault Diagnosis Using Self-Powered RFID Sensor and Deep Learning Approach

2018 ◽  
Vol 18 (15) ◽  
pp. 6399-6411 ◽  
Author(s):  
Tao Wang ◽  
Yigang He ◽  
Bing Li ◽  
Tiancheng Shi
Keyword(s):  
Deep Learning ◽  
Fault Diagnosis ◽  
Learning Approach ◽  
Self Powered ◽  
Transformer Fault

scholarly journals Fault diagnosis of wind turbine bearing using wireless sensor networks

2017 ◽  
Vol 21 (suppl. 2) ◽  
pp. 523-531 ◽  
Author(s):  
Indhu Ramalingam ◽  
Sankaran Annamalai ◽  
Sugumaran Vaithiyanathan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Fault Diagnosis ◽  
Wind Turbine ◽  
Wireless Sensor ◽  
Turbine Bearing

scholarly journals Open Switch Fault Diagnosis Method for PWM Voltage Source Rectifier Based on Deep Learning Approach

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 66595-66608 ◽  
Author(s):  
Tiancheng Shi ◽  
Yigang He ◽  
Tao Wang ◽  
Bing Li
Keyword(s):  
Deep Learning ◽  
Fault Diagnosis ◽  
Voltage Source ◽  
Learning Approach ◽  
Open Switch ◽  
Diagnosis Method
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