Abstract
Exhaust gas recirculation (EGR) is a NOx reduction technology that can meet stringent environmental regulatory requirements. EGR blower systems must be used to increase the exhaust gas pressure at a lower rate than the scavenging air pressure. Electric motor drive systems are essential to rotate the EGR blowers. For the effective management of the EGR blower systems in smart ships, there is a growing need for predictive maintenance technology fused with information and communication technology (ICT). Since an electric motor accounts for about 80% of electric loads driven by the EGR, it is essential to apply the predictive maintenance technology of the electric motor to maximize the reliability and operation time of the EGR blower system. Therefore, this paper presents the predictive maintenance algorithm to prevent the stator winding turn faults, which is the most significant cause of the electrical failure of the electric motors. The proposed algorithm predicts the remaining useful life (RUL) by obtaining the winding temperature value by considering the load characteristics of the electric motor. The validity of the proposed algorithm is verified through the simulation results of an EGR blower system model and the experimental results derived from using a test rig.
Highlights
When three-phase sine wave currents of 340 A are conducted in three phases, the windings of permanent magnet synchronous motors (PMSMs) are at a rated speed of 9000 rpm and the peak value of the line voltage is 569.6 V, which has a voltage margin of about 8.5% compared to the DC link voltage of 622 V of the inverter
The temperature profile was obtained through thermal analysis of the PMSM by applying load conditions based on the speed profile
Due to the fourth industrial revolution and environmental regulations, the need for predictive maintenance technology fused with information and communication technology (ICT) is increasing to maximize the reliability and operation time of the Exhaust gas recirculation (EGR) blower system for reducing NOx in smart ships
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. EGR is a technology that recirculates a part of exhaust gas discharged from an installed engine to the intake air It can reduce the oxygen concentration in the combustion chamber and increase the ratio of inert gas, thereby suppressing the temperature rise of combustion gas and thermal NOx formation reactions [12,13,14,15]. This paper proposes the predictive maintenance algorithm, which considers the load characteristics of permanent magnet synchronous motors (PMSMs) for driving the EGR blowers for smart ships to prevent stator winding turn faults. Based on the trend line of the required lifetimes according to the winding temperature, the proposed algorithm derives the predicted remaining life of winding by using the information about the motor that is received through wireless communication with the inverter. The validity of the proposed algorithm is verified through comparison with the experimental results
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