Research on Fault Detection Methods of High-Voltage Insulators from the Perspective of New Engineering

Under the guidance of the new engineering concept of "interdisciplinary integration and serving industrial demands", high-voltage insulators, as key components of power systems, their fault detection is of vital importance to operation and maintenance safety. Traditional manual inspection is restricted by terrain and weather conditions. It is not only inefficient but also prone to missed inspections in rainy, foggy or strong electromagnetic environments. Conventional detection techniques such as partial discharge monitoring have insufficient accuracy in identifying minor faults like fine cracks and early contamination, making it difficult to cover multiple types of fault scenarios. To this end, this paper focuses on the advantages of image processing technology, such as "non-contact, high resolution, and quantifiable", integrates the knowledge of computer vision and the fault mechanism of power engineering, and conducts multi-disciplinary collaborative innovation research. The aim is to break through the limitations of traditional detection and provide efficient and precise technical solutions for the intelligent operation and maintenance of power systems.