Multipoint Fiber-Optic Hot-Spot Sensing Network Integrated Into High Power Transformer for Continuous Monitoring

Research on Transformer Fault Diagnosis and Multi Variable Parameter Decision Model

“…How to obtain effective fault data from the original data is the first step for performing diagnostic work properly. Therefore, the researcher adds a new step, obtaining the fault data based on forecasting techniques, on basis of the traditional diagnostic procedures, as shown in Figure 1; and also studies fault data, fault feature extraction and fault diagnosis model, on basis of predictive techniques, thereby ultimately improve the transformer fault DGA technology [3][5].…”

“…Feature gas content takes H 2 , CH 4 , C 2 H 6 , C 2 H 4 , and C 2 H 2 as classifier input data. In order to reduce the calculation error [3], due to the huge differences in DGA data, firstly the formula (1) standardizes a variety of gas content, and improves the efficiency of diagnosis. …”

“…There into, in addition to the transformer, dissolved gases, micro-water content, and furfural content also correspond to other parts such as sleeving and load tap. The collected data belong to switch body data [2] [3]. Analysis on fault feature types is shown in table1.…”

Review of Condition Assessment Methods for Subsea High Voltage Components

“…However, complex techniques often have to be used for treatment of the signals [20]. It is worth to notice, that DTS systems already are in use for subsea cables [21].…”

“…Excessive heating leads to thermal ageing of the insulation that can result in breakdown. In order to avoid a breakdown, different temperature measurements are performed, such as temperature distributed sensing [20][21], and thermocouples [22][23] i.e. As an example of temperature measurements of the oil, thermocouples were used in [23]; thermocouple sensors were installed under the top of the transformer tank, in the on-and outlet pipe through which oil flows to the cooling radiator.…”