Telemetry Modeling for Electronic Stress Testing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current electronic device qualification processes are lengthy and costly due to increased product complexity, requiring extensive stress testing under various conditions, which delays time-to-market and increases resource expenditure.
Innovation Solution
Implementing a machine learning model that analyzes telemetry data from devices under stress testing to predict future reliability metrics, allowing for reduced testing duration and population size, thereby optimizing testing resources and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extensive stress testing is performed to ensure product reliability, then product reliability is improved, but testing time and cost increase
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the physical device that replicates its behavior under stress conditions. This virtual model allows unlimited testing iterations without physical wear, enabling reliability validation through simulation rather than exhaustive physical testing. The digital twin captures device state through telemetry parameters and reproduces stress scenarios virtually.
Solution Approach 2:
The patent replaces physical stress testing mechanisms with a computational modeling system. Instead of subjecting devices to physical environmental stressors (temperature, humidity, vibration), the system uses software simulations to model device behavior under various conditions, substituting mechanical testing with computational analysis.
2Reliability
If extensive stress testing is performed to ensure product reliability, then product reliability is improved, but testing cost increases
Solution Approach 1:
The digital twin serves as a virtual replica that can be tested repeatedly without consuming physical resources. Multiple test scenarios can be executed simultaneously on the virtual model, eliminating the need for proportional increases in physical testing equipment, facilities, and personnel that would normally be required for comprehensive reliability testing.
Solution Approach 2:
The patent introduces a computational intermediary layer between the physical device and the testing process. The digital twin acts as a mediator that translates physical stress testing requirements into virtual simulations, allowing reliability assessment without direct physical intervention and reducing resource consumption.
3Manufacturing precision
If traditional qualification testing is used, then product quality is ensured, but time to market increases
Solution Approach 1:
The digital twin enables preliminary testing and validation to be performed before physical production begins. By modeling device behavior under stress conditions during the design phase, the system identifies and resolves potential reliability issues early, eliminating the need for lengthy post-manufacturing qualification tests and accelerating time to market.
Solution Approach 2:
The patent replaces traditional mechanical stress testing with computational modeling during the development phase. This substitution allows rapid iteration and validation of design choices through simulation, providing quality assurance without the time constraints of physical testing protocols.
Data Source
AI summary
A method, computer system, and computer program product are provided for stress-testing electronics using telemetry modeling. Telemetry data is received from one or more devices under test during a hardware testing phase, the telemetry data including one or more telemetry parameters. The telemetry data is processed using a predictive model to determine future values for the one or more telemetry parameters. Additional hardware testing is performed, wherein the additional hardware testing includes adjusting one or more testing components based on the determined future values.