Stator Insulation Varnish Inspection Using Fluorescence AI
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for evaluating the condition of varnish coatings on stator windings are inefficient, often requiring destructive techniques and are prone to variability in accuracy, making it challenging to assess thickness and uniformity effectively.
Innovation Solution
A non-destructive method using fluorescence imaging and artificial intelligence (AI) models to analyze varnish distribution within stator slots, enabling accurate estimation of varnish fill percentages without damaging the stator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If destructive techniques are used to verify varnish coating condition, then measurement precision is improved, but loss of substance and loss of time increase
Solution Approach 1:
The patent creates a visual copy (image) of the varnish coating through fluorescence imaging, allowing analysis of coating thickness and uniformity without physically destroying the stator. The image serves as a representative copy that can be examined repeatedly without affecting the original stator integrity.
Solution Approach 2:
The patent introduces fluorescence imaging as an intermediary between the varnish coating and the observer. The fluorescence signal acts as a mediator that carries information about coating conditions, enabling non-contact measurement without direct physical intervention or destruction of the stator.
2Measurement precision
If destructive techniques are used to verify varnish coating condition, then measurement precision is improved, but loss of time increases
Solution Approach 1:
By creating a visual record (image) of the varnish coating through fluorescence imaging, the patent enables rapid, repeated analysis without the time-consuming process of physical sectioning and examination. The image can be viewed and analyzed multiple times instantly.
Solution Approach 2:
The patent replaces mechanical destructive testing (cutting and physical examination) with optical imaging and digital analysis. This substitution eliminates the time-consuming mechanical processes while maintaining or improving measurement precision through non-contact imaging techniques.
3Device complexity
If conventional inspection methods are used, then device complexity is reduced, but measurement precision and reliability deteriorate
Solution Approach 1:
The patent exploits fluorescence color changes as an indicator of varnish coating conditions. Different regions of the coating with varying thickness or uniformity produce distinct fluorescence signals, enabling precise measurement without complex mechanical testing equipment.
Solution Approach 2:
The patent replaces complex mechanical inspection systems with a simpler optical imaging system. The fluorescence imaging apparatus is less complex than destructive mechanical testing while providing superior measurement precision for coating thickness and uniformity.
4Measurement precision
If destructive sampling is performed, then measurement precision is improved, but productivity decreases
Solution Approach 1:
By imaging the varnish coating non-destructively, the patent allows 100% inspection of all stators without requiring sacrificial samples. This eliminates the need to reduce production throughput to accommodate destructive testing, thereby improving productivity while maintaining measurement precision.
Solution Approach 2:
The fluorescence imaging system enables the stator to essentially inspect itself without requiring physical disruption. The coating's own fluorescence properties are utilized to provide self-diagnostic information about its quality, eliminating the need for destructive sampling and maintaining full production capacity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides a rapid, cost-effective, and reproducible assessment of varnish coating conditions, reducing variability and time consumption while maintaining the integrity of the stator.
Implementation Method 1
fluorescence imaging and artificial intelligence (AI) models to analyze varnish distribution within stator slots
Data Source
AI summary
Methods and systems are provided for an insulation system of a stator. In one example, a method may include receiving images of the stator at an automated tool implemented at a processor of a computing system, the images depicting slots in in an inner surface of the stator, and processing the images using image processing and deep learning algorithms to provide processed images. The processed images may be input to an artificial intelligence (AI) model of the automated tool, the AI model trained to identify varnish in the processed images. obtained two-dimensional presentation of varnish distribution may be output from the AI model.