Vibration-Based Fault Detection for Flywheel Condition Monitoring
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Tetsuji Ogawa | Takanori Hasegawa | Teppei Nakano | Mao Saeki | Tetsuji Ogawa | T. Hasegawa | Teppei Nakano | Mao Saeki
[1] Malcolm D. McCulloch,et al. A comparison of high-speed flywheels, batteries, and ultracapacitors on the bases of cost and fuel e , 2011 .
[2] Toshihisa Funabashi,et al. Control performance verification of power system stabilizer with an EDLC in Islanded Microgrid , 2009 .
[3] Akira Mita,et al. Health monitoring of ball bearings in a flywheel using amplitude modulation of ultrasonic waves , 2006 .
[4] Keith Robert Pullen,et al. A Review of Flywheel Energy Storage System Technologies and Their Applications , 2017 .
[5] Yang Yang,et al. Vibration signal analysis of main coolant pump flywheel based on Hilbert–Huang transform , 2015 .
[6] Nader Sawalhi,et al. A machine learning approach for the condition monitoring of rotating machinery , 2014 .
[7] Ramesh Rayudu,et al. Review of energy storage technologies for sustainable power networks , 2014 .
[8] Steven Verstockt,et al. Convolutional Neural Network Based Fault Detection for Rotating Machinery , 2016 .
[9] Erik G. Hansen,et al. Clean energy storage technology in the making: An innovation systems perspective on flywheel energy storage , 2017, Journal of cleaner production.