Remaining life prediction algorithms of electric motors for exhaust gas recirculation blower systems
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The remaining life prediction of the electric motors is required for stable operation of the EGR systems and selection of an appropriate maintenance period due to the electric motor accounts for 80% of the electric loads in the EGR blower system. Therefore, this paper proposes the algorithms for predicting the remaining life of bearings and windings, which are the main causes of electric motor failures. The equations are presented for predicting the remaining life using the speed and temperature of the electric motor, which are factors that affect the lifespan of the bearings and windings of the electric motor. The EGR blower system is modeled and simulated with the power electronics simulation program PSIM using the data obtained through the thermal analysis of the electric motor according to the load change of the EGR blower. The validity of the remaining life prediction algorithm according to the load change of the EGR blower is verified using the implemented simulation.
Abstract
The remaining life prediction of the electric motors is required for stable operation of the EGR systems and selection of an appropriate maintenance period due to the electric motor accounts for 80% of the electric loads in the EGR blower system. Therefore, this paper proposes the algorithms for predicting the remaining life of bearings and windings, which are the main causes of electric motor failures. The equations are presented for predicting the remaining life using the speed and temperature of the electric motor, which are factors that affect the lifespan of the bearings and windings of the electric motor. The EGR blower system is modeled and simulated with the power electronics simulation program PSIM using the data obtained through the thermal analysis of the electric motor according to the load change of the EGR blower. The validity of the remaining life prediction algorithm according to the load change of the EGR blower is verified using the implemented simulation.
참고문헌 (17)
- R. Verschaeren, "Experimental study of NOxreduction on a medium speed heavy duty diesel engine by the application of EGR(Exhaust Gas Recirculation)and Miller timing", Energy, 76, pp.614~621 (2014)
- G. Y. Jeong, "Green Ship SCR System Technology Development Status-SCR System Catalyst Technology Trend", Korea Institute of Materials Science, 24(2), pp.38~46 (2012)
- S. D. Rudrabhate, "Comparison between EGR & SCR Technologies", International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME) of Conference Proceeding, 856(861), pp.856~861 (2017)
- G. Zamboni, "Influence of high and low Pressure EGR and VGT control on in-cylinder pressure diagrams and rate of heat release in an automotive turbocharged diesel engine", Applied Thermal Engineering, 51(1-2), pp.586~596 (2013)
- Emission Reduction Technologies for the Future Low Emission Rail Diesel Engines: EGR vs SCR, "G. Patrianakos", SAE International, ~, pp.Technical Paper 2013-24-0087 (2013)
- F. C. Buenaventura, "Air fraction and EGR proportion control for dual loop EGR diesel engines", Ingenieria Y Universidad, 19(1), pp.115~133 (2015)
- Z. Wang, "Research of NOx reduction on a low speed two stroke marine diesel engine by using EGR (Exhaust Gas Recirculation)-CB (Cylinder Bypass) and EGB (Exhaust Gas Bypass)", International Journal of Hydrogen Energy, 42(30), pp.19337~19345 (2017)
- A. Rojko, "Development and experience with ICT based education in sustainably energy", 2015 IEEE International Conference on Industrial Technology (ICIT), pp.3264~3269 (2015)
- B. Lu, "Predictive maintenance techniques", EEE Industry Applications Magazine, 15(6), pp.52~60 (2009)
- K. Toni, "Detection of turn to turn faults in stator winding with axial magnetic flux in induction motors", 2007 IEEE International Electric Machines & Drives Conference, pp.826~829 (2007)
- Y. Yun, "Remaining useful life prediction of reaction wheel motor in satellites", JMST Advances, 1(3), pp.219~226 (2019)
- T. A. Shifat, "Remaining useful life estimation of BLDC motor considering voltage degradation and attention-based neural network", IEEE Access, 8, pp.168414~168428 (2020)
- A. Banerjee, "Degradation data–driven analysis for estimation of the remaining useful life of a motor", ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(2) (2021)
- S. A. Kim, "Analysis and experimental verification of a variable speed turbo air centrifugal compressor system for energy saving", Energies, 14(4), pp.1208~ (2021)
- 이승표, "작동하중과 회전속도를 고려한 자동차용 휠 베어링의 수명평가", 대한기계학회논문집 A, 40(6), pp.595~602 (2016), 대한기계학회
- C. Sun, "Research on bearing life prediction based on support vector machine and its application", Journal of Physics: Conference Series, 305(1), pp.012028~ (2011)
- E. C. Johnson, "A new concept in mica paper insulation", 1965 Sixth Electrical Insulation Conference, pp.98~101 (1965)