I. Introduction
Insulation materials are essential components in electrical facilities, such as high-voltage (HV) power equipment, electronic devices, energy storage, and advanced spacecraft applications. Insulation defects are probably generated during the production, assembly, and operation of these facilities, which degrade the insulation materials and even cause failure. As a result, various insulation status detection and diagnosis methods have been developed to discover potential defects in equipment; however, extra testing devices, which may also affect the safe operation of the equipment, are usually required. For example, ultraviolet imager was employed to detect the corona discharges for outdoor insulators [1]. Nevertheless, most of these methods rely on expensive testing devices and require domain knowledge to diagnose the insulation status. Therefore, the development of new paradigms for nondestructive, real-time, and onsite monitoring of insulation defects is appealing for industrial applications. Due to the advantages of high sensitivity, easy identification, and real-time response, luminescent materials have been utilized in light-emitting diodes, fatigue crack visualization, and fluorescence-based diagnosis of organ-related diseases. Inspired by this, emitting insulation materials, which could produce electroluminescence in intensified-electric-field regions, are expected to realize self-detection and diagnosis of insulation defects. However, to the best of our knowledge, no research on electroluminescence-based self-diagnosis insulation materials has been reported.