The invention belongs to the technical field of
wind power blade
lightning protection, and discloses a
lightning protection system fault diagnosis method, which is characterized in that a data
sound card collector is arranged at the root of a blade and is used for collecting sound signals in a blade cavity, converting the collected sound signals into digital signals, and sending the digital signals to a
server; the fault monitoring, fault early warning and diagnosis module monitors the
lightning protection system in real time by using the
digital signal through a
deep learning fault diagnosis
algorithm; meanwhile, a
current loop is arranged at the blade root and used for collecting lightning current, the state of a down lead of the
lightning protection system in the service period of the blade is judged by assisting a fault monitoring, early warning and diagnosis module by comparing the lightning current with existing actual lightning current data, and finally the real-time state of the
lightning protection system is responded to through an upper computer. The fault monitoring, early warning and diagnosis
system can monitor the state of the
lightning protection system in the service period in real time, can repair or replace the down lead fractured due to mechanical stress generated by deformation in time, improves the reliability of the lightning
protection system, and reduces the risk of lightning protection failure.