Temperature Measurement of Power Cable Based on Distributed Optical Fiber Sensor

Shen, Xiaoqing; Yang, Yang; Cong, Bin; Ding, Fenghai; Qiu, Bin; Ye, Lingling

doi:10.1088/1742-6596/679/1/012053

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, semiconductor sensor and optical fibre sensor are developed to obtain a real-time thermal behaviour monitoring on cable. For example, the built-in DTS (optical fibre temperature sensor) systems can realise real-time measurement with the abilities of anti-corrosion, immune to electromagnetic interference and high sensitivity [62]. Typical figures are detection accuracy in the range of ±1°C [63] at a resolution of 0.01°C [63] to a spatial resolution of 1 m, over measurement distances as long as 30 km [63].…”

Section: Condition Monitoring and Diagnosis For Cablementioning

confidence: 99%

Condition monitoring and diagnosis of power equipment: review and prospective

2017

High Voltage

209

View full text Add to dashboard Cite

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.

show abstract