A DC link capacitor condition monitoring technique for medium and high power AC-DC-AC PWM converters based on a designed variable electrical network (VEN) is proposed in . Several capacitors are connected in series as a capacitor bank to maintain the required intermediate circuit voltage.
Data Driven Methods gives promising results in condition monitoring of capacitors. Capacitors are an important component of power conversion systems because they affect the cost, size, performance, and range of such systems. However, capacitors have the highest degradation and failure rates of any power converter component.
A capacitor condition monitoring method based on the artificial neural network method is proposed in . This applies to back-to-back converter study cases for estimating changes in the capacitance value of DC link capacitors.
In the future, it is expected that the use of data-based methods will become increasingly prevalent in the field of condition monitoring for capacitors used in power converters. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Therefore, it can be detected by ordinary voltage sensors and processing devices. The state observer is used to estimate the voltage of the capacitor. The ESR and C are obtained and adjusted them according to the difference between the estimated voltage and the actual voltage value.
In the last two decades, many efforts in academic research have been devoted to the condition monitoring of capacitors to estimate their health status. Industry applications are demanding more reliable power electronics products with preventive maintenance.