&lt;p&gt;Insulators play a crucial role in transmission lines. Insulators exposed to natural environments are prone to various malfunctions. These faults will seriously affect the safety and stability of the power grid system operation, so intelligent detection of insulator defects has become increasingly important. This paper presents an insulator defect detection model based on the improved MViTv2-T (Multiscale Vision Transformers Version 2 Tiny). The new model utilizes the sore penalty mechanism (SPM) cluster non-maximum suppression (NMS) algorithm instead of the batched non-maximum suppression (NMS) algorithm from the original model. Additionally, it introduces the stage query recollection method, which integrates high-level and low-level module queries within each stage, along with various experimentation on integration functions between the two. The experimental results indicate that the improved MViTv2-T model attains an mAP (mean average precision)@0.5:0.95 of 76.1$ \% $, mAP@0.5 of 96.1$ \% $, and mAR@0.5 of 97.2$ \% $ in insulator defect detection. Compared to the original model, there is a 1.8$ \% $ increase in mAP@0.5:0.95 and a 17$ \% $ decrease in the detection error rate at an Intersection over Union (IoU) threshold of 0.5. Furthermore, when compared to standard two-stage detection models and YOLO series models, the improved MViTv2-T model also exhibits distinct performance advantages.&lt;/p&gt;

Fuhong Meng

Guowu Yuan

Hao Zhou

Hao Wu

Yi Ma

AIMS Electronics and Electrical Engineering

Acta Botanica Hungarica publishes papers by scientists of Hungary and of surrounding countries working on the topics listed below. Studies by foreign researchers written in the framework of international projects and cooperations are also welcome. Main subjects: plant anatomy and histology, cryptogam and phanerogam taxonomy, molecular phylogeny, plant geography, plant sociology, vegetation science, tropical botany, ethnobotany, paleobotany and palynology. Publishes book reviews and advertisements.

The journal "AIMS Electronics and Electrical Engineering" welcomes submissions from scientists in Hungary and surrounding countries, particularly on the following topics: plant anatomy and histology, cryptogam and phanerogam taxonomy, molecular phylogeny, plant geography, plant sociology, vegetation science, tropical botany, ethnobotany, paleobotany, and palynology. Studies by foreign researchers conducted within the framework of international projects and collaborations are also encouraged. The journal also publishes book reviews and advertisements.

《AIMS Electronics and Electrical Engineering》期刊欢迎匈牙利及周边国家的科学家投稿，特别是在以下主题领域的研究：植物解剖学与组织学、隐花植物与显花植物分类学、分子系统发育、植物地理学、植物社会学、植被科学、热带植物学、民族植物学、古植物学及花粉学。同时也欢迎国际项目和合作框架下的外国研究者的研究成果。期刊还会发布书评和广告。

Improved MViTv2-T model for insulator defect detection

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