基于电力线通信的电缆智能诊断(二):信道及阻抗估计OA

Power line communication and power frequency energy transmission share the same medium,and the subtle dynamic changes in the physical properties of cables will significantly affect the transmission characteristics of broadband communication signals.However,the effective tool and approach for reverse detection of cable status are still unclear.In response to this issue,this study focuses on building a bridge between power line communication and cable physical states-power line channel frequency response and impedance spectrum.Firstly,the channel estimation strategy based on orthogonal frequency division multiplexing technology is elaborated.Under the theoretical framework where impedance spectrum and channel frequency response are controlled by the same independent variable,the implicit correspondence between the two is revealed,and a impedance inversion modeling method based on channel frequency response estimation results is proposed.We conducted simulation verification work and evaluated the channel estimation and impedance spectrum estimation performance of the receiving end in a series of abnormal power line channel environments.The research results show that both channel frequency response and impedance spectrum can effectively reflect the abnormal state of the channel,indicating that they can be used as key indicators to evaluate the health status of cables,providing new perspectives and practical support for the state monitoring and fault diagnosis of power systems.