17664057. PREDICTING DEVICE INSULATION CONDITION AND PROVIDING OPTIMAL DECISION MODEL simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
PREDICTING DEVICE INSULATION CONDITION AND PROVIDING OPTIMAL DECISION MODEL
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Saurabh Trehan of Gurgaon (IN)
PREDICTING DEVICE INSULATION CONDITION AND PROVIDING OPTIMAL DECISION MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 17664057 titled 'PREDICTING DEVICE INSULATION CONDITION AND PROVIDING OPTIMAL DECISION MODEL
Simplified Explanation
The patent application describes a method for predicting the condition of insulation on a cable that powers an electronic device. Here are the key points:
- The method determines the current insulation level of the cable based on a leakage test.
- It utilizes a supervised machine learning model to determine the current leakage and a confidence score for the insulation layer.
- A decision framework is generated based on the current leakage and confidence score to address any current leakage issues.
- The method performs actions based on the decision framework to fix the current leakage in the insulation layer.
Potential Applications
This technology can be applied in various industries and scenarios, including:
- Power distribution systems
- Electrical equipment maintenance
- Industrial automation
- Renewable energy systems
Problems Solved
This technology addresses the following problems:
- Identifying insulation issues in cables before they cause significant damage or failure.
- Enabling proactive maintenance and repair of insulation layers.
- Improving the reliability and safety of electronic devices and power systems.
Benefits
The use of this technology offers several benefits:
- Early detection of insulation problems, reducing the risk of electrical failures and accidents.
- Cost savings by preventing major damage or breakdowns.
- Increased efficiency in maintenance operations.
- Enhanced overall performance and lifespan of electronic devices and power systems.
Original Abstract Submitted
A method for a predictive insulation condition-based recommendation policy includes determining a present insulation level for an insulation layer on a cable providing power to an electronic device based on a current leakage test. The method also includes determining a current leakage and a confidence score for the insulation layer on the cable providing power to the electronic device utilizing a supervised machine learning model. The method also includes generating a decision framework for the electronic device based on the current leakage and the confidence score in response to determining to perform an action based on the decision framework for the electronic device, the method also includes performing the action based on the decision framework to address the current leakage for the insulation layer on the cable providing power to an electronic device.
