Abstract
As a key component to ensure the safe operation of the power grid, mechanical defect diagnosis technology of gas-insulated switchgear (GIS) during operation is often neglected. At present, GIS mechanical fault detection based on vibration information has not been developed. The main reason is that the excitation current is considerable but uncontrollable in the actual operation of GIS. It is difficult to eliminate the influence of excitation on the vibration amplitude and form an effective vibration feature description technology. Therefore, this paper proposes a unified feature-extraction method for GIS vibration information that reduces the influence of current amplitude for mechanical fault diagnosis. Starting from the GIS mechanical analysis, the periodicity of vibration excitation and the influence of amplitude are discussed. Then, combined with the non-linear characteristics of GIS systems and non-linear vibration theory, the multiplier frequency energy ratio (MFER) is designed to extract vibration-unified features of GIS for diagnosing the mechanical fault under different current levels. The diagnosis results of the experimental data with different feature-extraction methods show the applicability and superiority of the proposed method in the GIS’s mechanical fault-detection field based on vibration information.
Highlights
Effective detection technology focusing on the operating state of high-voltage electrical equipment is an important means to maintain the safe operation of the power grid [1]
The proposed paper presents a unified vibration feature-extraction method suitable for gas-insulated switchgear (GIS) under different energizing currents applied to a GIS mechanical fault-detection system, which reduces the sensitivity of the detection system to the amplitude of excitation current
Based on vibration signal mode, a GIS vibration feature description scheme of multiplier frequency energy ratio (MFER) is presented for reducing the influence of the different current amplitudes on the vibration information
Summary
Effective detection technology focusing on the operating state of high-voltage electrical equipment is an important means to maintain the safe operation of the power grid [1]. Literature [23,24] based on GIS vibration information, respectively, using the fuzzy C means algorithm and the K-L divergence theory together implements the mechanical fault-detection process Compared with another important high-voltage switchgear, high-voltage circuit breaker mechanical defect diagnosis technology is becoming increasingly mature [25,26,27,28], the detection technology of a GIS operation state is still limited to partial discharge fault analysis, and the development of mechanical fault-detection technology is slow. The proposed paper presents a unified vibration feature-extraction method suitable for GIS under different energizing currents applied to a GIS mechanical fault-detection system, which reduces the sensitivity of the detection system to the amplitude of excitation current.
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