Automated Surface Damage Inspection for Turbine Components
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Solution Overview
Problem
Manual visual inspections of mechanical equipment components with surface damages are time-consuming, prone to human errors, and inefficient, particularly in maintaining combustion gas turbines where ceramic insulating tiles need frequent replacement.
Innovation Solution
A method involving photographing components, processing images to acquire geometric data, comparing this data with predetermined criteria, and providing instructions for replacement, which can be performed using mobile electronic devices like smartphones or tablets, reducing the need for specialized training and minimizing human error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual inspection is used to assess surface damages, then inspection accuracy can be maintained through specialist training, but inspection time and operational complexity increase significantly
Solution Approach 1:
The patent replaces the manual visual inspection system with an automated image processing system. A camera captures images of the component surface, and computer algorithms automatically analyze the images to detect surface damages such as cracks and material loss. This substitution eliminates the need for specialist training while maintaining high detection accuracy and dramatically reducing inspection time.
Solution Approach 2:
The patent creates a digital copy of the component surface through photography. Instead of directly examining the physical surface through manual inspection, the system captures an image copy and performs automated analysis on this digital representation. This copying approach enables rapid, repeatable, and highly accurate damage detection without the time constraints of manual inspection.
2Reliability
If manual inspection by specialists is performed, then detection capability is improved, but human errors occur and reduce reliability
Solution Approach 1:
The patent replaces the human inspector with an automated image processing system. The camera and computer algorithms objectively analyze surface damages without fatigue, distraction, or other factors that cause human error. This substitution significantly improves detection reliability while the modular design of the inspection system keeps complexity manageable.
Solution Approach 2:
The inspection system performs self-assessment through automated image analysis. The system captures images, processes them through algorithms, and automatically determines whether surface damages exceed replacement criteria. This self-service capability eliminates human error while maintaining simple operation through automated decision-making.
3Productivity
If automated image processing is used to inspect components, then inspection speed and efficiency improve, but measurement precision may be compromised
Solution Approach 1:
The patent employs sophisticated image processing algorithms that can detect subtle surface damages with high precision. The automated system uses digital image analysis techniques to identify cracks and material loss, achieving accuracy comparable to or exceeding manual inspection while dramatically improving inspection speed and efficiency.
Solution Approach 2:
The patent creates high-resolution digital copies of the component surface through photography. These detailed digital representations preserve all surface features and damages, enabling precise automated measurement and analysis. The copying process maintains measurement precision while allowing rapid, repeated analysis for improved efficiency.
Data Source
AI summary
Disclosed is a method for maintaining a mechanical apparatus, with the surface of a component thereof being damaged. In an embodiment, the method includes: taking at least one photograph for at least one component; processing the photograph to obtain geometric data of the component; comparing the data with a predetermined standard; and indicating the component meeting the predetermined standard.