Condition monitoring and diagnosis of power equipment: review and prospective

Abstract

To ensure the power system operates safely and reliably, it is essential to monitor and evaluate the health condition of power equipment on-line or off-line. This study reviews the research status in condition monitoring and diagnosis of power equipment, including transformer, gas insulated switchgear, cable, external insulation, generator, and power capacitor in recent years. Although much progress has been made in technologies of condition monitoring and fault diagnosis such as test accuracy, fast and accurate fault localisation and recognition of fault types, there are still many deficiencies which needs further research work, including the reliability of signal collection from sensors, the accuracy of data treatment and analysis, anti-interference performance of test equipment, appropriate models used for condition evaluation. The prospective of condition monitoring and diagnosis technologies of power equipment are also presented in this study. It is proposed that the application of big data, internet of things and cloud computing should be expected and given special attention in the near future.

Keywords

• power apparatus
• condition monitoring
• fault diagnosis
• condition monitoring
• power equipment
• power system
• health condition
• transformer
• gas insulated switchgear
• cable
• external insulation
• generator
• power capacitor
• fault diagnosis
• test accuracy
• fault localisation
• fault recognition
• fault types
• signal collection
• sensors
• data treatment
• anti-interference performance
• test equipment
• big data
• internet of things
• cloud computing