Turn-to-turn insulation detection oscillatory wave signal prediction method based on autoregression model

By applying autoregressive model to predict oscillating wave signals in interturn insulation detection, the problem of traditional detection methods relying on experience and intuitive judgment is solved, the accuracy and efficiency of detection are improved, and scientific basis for equipment maintenance is provided.

CN119475798APending Publication Date: 2025-02-18MAANSHAN POWER SUPPLY COMPANY STATE GRID ANHUI ELECTRIC POWER
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Patent Information

Application Number
CN202411649089.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-19
Publication Date
2025-02-18

AI Technical Summary

Technical Problem

The traditional interturn insulation detection method relies on experience and intuitive judgment, and lacks scientific prediction models, resulting in low detection accuracy and efficiency.

Method used

采用基于自回归模型的匝间绝缘检测振荡波信号预测方法,通过采集和预处理振荡波信号数据,建立自回归模型,进行线性预测,实现对未来振荡波信号的预测。

Benefits of technology

It improves the accuracy and efficiency of inter-turn insulation detection, provides scientific basis for the maintenance and management of equipment, extends the service life of equipment, and reduces maintenance costs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a turn-to-turn insulation detection oscillatory wave signal prediction method based on an autoregression model, and the method comprises the steps: firstly, collecting oscillatory wave signal data in a turn-to-turn insulation detection process, and carrying out the sampling processing; then, modeling the data by using an autoregression model to obtain the autoregression model; calculating the value of an autoregression parameter through a related algorithm; and finally, predicting a future oscillatory wave signal by using the prediction model, and judging the turn-to-turn insulation state according to a prediction result.
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