TY - JOUR
T1 - Condition monitoring and diagnosis of power equipment
T2 - Review and prospective
AU - Li, Shengtao
AU - Li, Jianying
N1 - Publisher Copyright:
© 2017 The Institution of Engineering and Technology. All rights reserved.
PY - 2017/6
Y1 - 2017/6
N2 - 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, antiinterference 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.
AB - 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, antiinterference 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.
UR - https://www.scopus.com/pages/publications/85074182015
U2 - 10.1049/hve.2017.0026
DO - 10.1049/hve.2017.0026
M3 - 文献综述
AN - SCOPUS:85074182015
SN - 2397-7264
VL - 2
SP - 82
EP - 91
JO - High Voltage
JF - High Voltage
IS - 2
ER -