LIU Yunpeng, BU Yanan, TIAN Yuan, et al. Feasibility Study on Transformer Winding Deformation Detection and Fault Identification Based on Distributed Optical Fiber Sensing[J]. 2019, 45(5): 1483-1489.
LIU Yunpeng, BU Yanan, TIAN Yuan, et al. Feasibility Study on Transformer Winding Deformation Detection and Fault Identification Based on Distributed Optical Fiber Sensing[J]. 2019, 45(5): 1483-1489.DOI:
Winding distortion is a common faults inside the transformer. The traditional mature detecting method of winding deformation belongs to off-line detection
and can not judge the winding deformation mode. According to the above reasons
this paper proposes a detecting method of transformer winding deformation based on distributed optical fiber sensing. The built-in distributed optical fiber continuous winding model is used to simulate the winding deformation in practical operation. When the winding is partially deformed
the optical fiber strain will be measured by Brillouin optical time domain reflectometer(BOTDR). At last
the extreme learning machine(ELM) will make mode recognization to the detection signal. According to experimental results
the distributed optical fiber has some prestress in the winding
and the variation of fiber strain curve corresponds to different winding deformation. The accuracy of ELM is more than 90%for the winding and different deformation forms. The distributed optical fiber sensing technology can effectively detect the transformer winding deformation
which-provides a new idea for on-line monitoring of transformer winding deformation.