Reliability tracking method of power system equipment based on Embedded Internet of things technology

Abstract

Power equipment is one of the most important transmission and transformation equipment in power system. Improving the reliability of power equipment is of great significance to the safe and reliable operation of the whole power grid. A reliability tracking method of power system equipment based on Embedded Internet of things technology is proposed. The minimum cut set algorithm of reliability index based on Embedded Internet of things technology is given. In this paper, a fault tree analysis method for power system equipment unreliability index is proposed. According to the analysis of equipment structure, component function and failure mode, the fault tree model of power system equipment is established, and the reliability tracking calculation example is analyzed. Experiments show that the method can track the order stably, determine the key components that affect the reliability of the equipment, and identify the weak links of the equipment.

Design of automatic identification algorithm for double-feature fault signal waveform of power equipment

“…In fact, power distribution equipment mainly includes several conventional types, including power generation equipment, power transmission equipment, power distribution equipment and power consumption equipment [7][8][9][10] . Different power equipment has different operating conditions and different types of faults.…”