Visualizing Polymer Damage Using Hyperspectral Imaging.

Area of Science:

• Materials Science
• Electrical Engineering
• Remote Sensing

Background:

• Silicone rubbers (SIRs) are vital industrial materials for electrical insulation, notably in non-ceramic insulators (NCIs).
• Environmental aging degrades critical SIR properties like hydrophobicity and electrical resistance, posing challenges for in-service detection.
• Current methods for detecting SIR aging are often difficult, especially for in-service components.

Purpose of the Study:

• To demonstrate the feasibility of using hyperspectral imaging (HSI) for detecting various aging damages in different SIR materials.
• To establish HSI as a viable tool for in-service condition monitoring of electrical insulation.

Main Methods:

• Utilized hyperspectral imaging (HSI) to analyze four distinct SIR materials.
• Subjected SIR samples to four different simulated in-service aging environments.
• Analyzed spectral signature changes within the 400-650 nm wavelength range.

Main Results:

• Distinct spectral signature changes were observed in all four SIR materials after aging.
• These spectral shifts consistently occurred within the 400-650 nm wavelength band.
• HSI successfully differentiated between various types of aging damage across different SIR formulations.

Conclusions:

• Hyperspectral imaging (HSI) is a promising technique for detecting in-service aging and damage in silicone rubbers (SIRs).
• Remote sensing of non-ceramic insulators (NCIs) using HSI can effectively focus on spectral bands below 700 nm for damage detection.
• This approach offers a non-destructive and efficient method for monitoring the health of electrical insulation systems.