This paper discusses the fault diagnosis technology of power system automation equipment and the improvement strategy of production and operation reliability Based on the analysis of common fault diagnosis methods

the fault diagnosis technology based on artificial intelligence is mainly introduced

and a series of measures to improve the reliability of production and operation are put forward from the aspects of equipment management

operation and maintenance

and spare parts management. Through practical case analysis

the effectiveness of the proposed measures is verified

which provides a theoretical basis and practical guidance for the stable operation of power system automation equipment and the sustainable development of the power industry.