In recent years

power failures caused by transformer bushing faults directly affect the stable operation of a power grid. How to effectively diagnose bushing faults and realize early warning becomes an important issue to be solved urgently in bushing maintenance. In this paper

a multi-parameter intelligent sensing method for bushings is proposed. A dielectric loss/capacitance/partial discharge integrated wide-frequency sensor is designed

which is suitable for field applications. A new hydrogen/temperature/pressure integrated sensor is designed too. The signals from the sensors are obtained by a low-power multi-channel signal acquisition unit

which can digitize analog signals on site. The optical fibers are used to achieve multi-channel synchronous triggering and high-speed communication

suppressing interference in analog signal transmission. The analysis method based on the vector is proposed and a network-based diagnosis system is realized

which has data fusion and remote alarm function. This paper provides a reference idea for the development of bushing with intelligent operation and maintenance.