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Intelligent Calibration Method for Circuit Breaker Delay Performance Verification Line Based on Multi-Intelligent Algorithm Fusion
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DOI：10.1007/s13369-025-10477-3.png)
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Abstract
En 中文
To address the issues of low efficiency and insufficient calibration accuracy in traditional circuit breaker delay calibration lines, this paper proposes a method for predicting the circuit breaker tripping time and calculating the optimal correction amount for the thread adjustment component. This method enables intelligent calibration of the circuit breaker delay calibration line process. By integrating the IGASA-FCM clustering algorithm, HPSO optimisation algorithm, and WOA global optimisation algorithm, the multi-algorithm fusion optimises the precise prediction of the circuit breaker tripping time and the optimal correction amount for the thread adjustment component. Through quality determination of the circuit breakers, the thread adjustment component is pre-calibrated to ensure the success of the first calibration and improve calibration efficiency. Experimental results show that the intelligent calibration method significantly enhances the calibration efficiency and pass rate of the circuit breaker delay performance calibration line, providing both theoretical foundation and practical support for the intelligent development of production lines.
Keywords:
Circuit breaker delay verification
Trip time prediction
Intelligent calibration method
Optimal correction value
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