Distributed Test System Normalization for IC Operational Accuracy
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Solution Overview
Problem
Current integrated circuit test environments face inefficiencies in characterizing and managing the operational characteristics of ICs, particularly due to variations in test equipment and ambient conditions, which affect the accuracy of test results and increase costs.
Innovation Solution
A distributed test system that aggregates test results from multiple testing systems to a centralized server, utilizing a decision support system to normalize and analyze data, compare desired and actual operational characteristics, and provide accurate determinations while minimizing interference with ongoing tests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple testing systems are used to test ICs, then productivity increases, but measurement precision deteriorates due to variations in test equipment and ambient conditions
Solution Approach 1:
The patent introduces an intermediary normalization process that mediates between multiple testing systems and the final test results. A normalization module captures ambient conditions (temperature, humidity, voltage) and equipment variations, then applies correction factors to normalize test results from different systems. This intermediary layer eliminates the direct impact of equipment variations while preserving the benefits of parallel testing, thereby maintaining both high productivity and measurement precision.
Solution Approach 2:
The patent dynamically adjusts test parameters such as voltage levels, temperature thresholds, and timing margins based on ambient conditions and equipment characteristics. By changing these parameters adaptively, the system compensates for variations between different testing systems, ensuring consistent measurement precision across all systems while maintaining high testing throughput.
2Speed
If test results are analyzed locally at each testing system, then response time is improved, but loss of information increases due to inability to correlate data across systems
Solution Approach 1:
The patent merges test result analysis by collecting normalized test data from multiple testing systems into a centralized database, then performing correlated analysis across all systems. This combining approach enables cross-system pattern recognition and comprehensive defect analysis that would be impossible with isolated local analysis, while the pre-normalization process ensures that data from different systems can be meaningfully correlated without information loss.
Data Source
AI summary
Provided is a distributed test system and method for electrical devices that features bifurcated testing and analysis of test results for electrical devices by aggregating test results from multiple testing systems to a centralized server where analysis of test data is undertaken. The system includes a plurality of testing systems, each of which is configured to operate test software to provide electrical stimuli to devices under test (DUTs) and obtain measured metrics indicative of actual operational characteristics (AOCs) of the DUTs. A decision support system (DSS) is selectively placed in data communication with the plurality of testing systems to receive the measured metrics from each of the plurality of testing systems. The DSS is configured to operate on software and compare desired metrics, indicative of desired operational characteristics (DOCs) of each of the DUTs, with the measured metrics and provide a plurality of operational characteristic determinations (OCDs).