High-voltage circuit breakers are the core equipment in power networks

and to a certain extent

are related to the safe and reliable operation of power systems. However

their core components are prone to mechanical faults. This study proposes a component separation method to detect multiple mechanical faults in circuit breakers that can achieve online real-time monitoring. First

a model and strategy are presented for obtaining mechanical voiceprint signals from circuit breakers. Subsequently

the component separation method was used to decompose the voiceprint signals of multiple faults into individual component signals. Based on this

the recognition of the features of a single-fault voiceprint signal can be achieved. Finally

multiple faults in high-voltage circuit breakers were identified through an experimental simulation and verification of the circuit breaker voiceprint signals collected from the substation site. The research results indicate that the proposed method exhibits excellent performance for multiple mechanical faults

such as spring structures and loose internal components of circuit breakers. In addition

it provides a reference method for the real-time online monitoring of high-voltage circuit breakers.