Enhancement for Circuit Breaker Failure Protection in Transmission Substations

An online detection method for the mechanical fault of circuit breakers of rural distribution lines based on continuous wavelet transform and vibration signal characteristics

“…A large amount of dust and humidity will adhere to the mechanical components of the circuit breaker, gradually accumulating during operation, leading to poor contact, increased contact resistance, or high-temperature problems. At the same time, corrosive gases can corrode metal parts, causing corrosion and damage to mechanical components of circuit breakers, and posing greater challenges to detecting mechanical faults [2][3]. At this stage, to detect the mechanical fault of circuit breakers, some good research results have been proposed in related fields, such as Sun et al [4] extracted the joint cepstrum coefficient of the circuit breaker closing sound signal as the sound feature vector according to the human ear hearing characteristics, and then used the sparse representation classification algorithm to identify the feature vector, and introduced the divergence concept of linear discriminant analysis into the sparse representation classification objective function to improve the score class performance.…”