18209918. SYSTEM AND METHOD FOR PREDICTING AI USEFUL LIFE BASED ON ACCELERATED LIFE TESTING DATA simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
- 1 SYSTEM AND METHOD FOR PREDICTING AI USEFUL LIFE BASED ON ACCELERATED LIFE TESTING DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR PREDICTING AI USEFUL LIFE BASED ON ACCELERATED LIFE TESTING DATA - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHOD FOR PREDICTING AI USEFUL LIFE BASED ON ACCELERATED LIFE TESTING DATA
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
SYSTEM AND METHOD FOR PREDICTING AI USEFUL LIFE BASED ON ACCELERATED LIFE TESTING DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18209918 titled 'SYSTEM AND METHOD FOR PREDICTING AI USEFUL LIFE BASED ON ACCELERATED LIFE TESTING DATA
Simplified Explanation
The present invention relates to a system and method for predicting AI useful life based on accelerated life testing data.
- Feature extraction unit encodes accelerated life training data and actual operation testing result into a latent variable.
- Regression network is branched for each domain of data received by the feature extraction unit.
- Domain discrimination network maps the accelerated life training data and actual operation testing result to the latent variables in a latent space.
Potential Applications
This technology can be applied in various industries such as manufacturing, automotive, electronics, and healthcare for predicting the useful life of AI systems.
Problems Solved
1. Predicting the useful life of AI systems accurately. 2. Improving maintenance scheduling and reducing downtime of AI systems.
Benefits
1. Enhanced reliability and performance of AI systems. 2. Cost savings through optimized maintenance schedules. 3. Increased efficiency in operations.
Potential Commercial Applications
Predictive maintenance software for AI systems
Possible Prior Art
There may be prior art related to predictive maintenance systems for machinery and equipment, but specific prior art related to predicting AI useful life based on accelerated life testing data may be limited.
What are the limitations of the system and method proposed in the patent application?
The patent application does not provide information on the scalability of the system for predicting AI useful life based on accelerated life testing data.
How does this technology compare to existing methods for predicting AI useful life?
The patent application does not compare the proposed system and method to existing methods for predicting AI useful life based on accelerated life testing data.
Original Abstract Submitted
The present invention relates to a system and method for predicting AI useful life based on accelerated life testing data. The system for predicting AI useful life based on accelerated life testing data according to the present invention includes a feature extraction unit configured to receive accelerated life training data and actual operation testing result and encodes the received accelerated life training data and actual operation testing result into a latent variable, a regression network configured to be branched for each domain of data received by the feature extraction unit, and a domain discrimination network configured to map the accelerated life training data and actual operation testing result to the latent variables in a latent space.
