Automatic Logical Path Segment Detection in Measurement Populations
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Solution Overview
Problem
Conventional test and measurement instruments, such as oscilloscopes, present measurements as black-box results, making it difficult for users to diagnose errors or abnormal results, as they typically perform only one measurement on a waveform and lack tools to analyze the source of unexpected measurements.
Innovation Solution
The system generates measurement populations from waveform data records, automatically detecting logical path segments by overlaying multiple measurements and using machine-learning or pattern recognition to separate these segments, allowing for visual representation and histogram generation to help users understand measurement distributions and debug devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If measurements are presented as black-box results, then the measurement process is simple and fast, but users cannot easily review measurements to determine potential causes of errors or abnormal results
Solution Approach 1:
The patent segments the measurement population into multiple logical path segments based on waveform characteristics and measurement values. Each segment represents a distinct group of waveforms with similar measurement outcomes, allowing users to trace abnormal measurements back to specific waveform patterns and logical paths without overwhelming detail
Solution Approach 2:
The patent introduces logical path segments as an intermediary between raw waveform data and final measurement results. These segments act as a bridge that preserves measurement source information while maintaining measurement efficiency, enabling users to understand the relationship between waveforms and measurements without presenting all raw data
2Device complexity
If only one measurement is performed on a waveform, then the measurement process is simple, but users cannot see the source of the measurement or analyze measurement distributions
Solution Approach 1:
The patent divides the single measurement into multiple logical path segments that represent different waveform occurrences and measurement outcomes. Each segment contains information about waveform characteristics, measurement values, and occurrence frequencies, enabling comprehensive analysis while maintaining manageable complexity through organized segmentation
Solution Approach 2:
The patent adds a new dimension to measurement analysis by organizing measurements into logical path segments with multiple attributes (waveform characteristics, measurement values, occurrence frequencies). This dimensional expansion transforms a single measurement into a multi-dimensional measurement population that can be analyzed comprehensively without overwhelming complexity
3Reliability
If measurements are made on all occurrences of a waveform, then complete measurement coverage is achieved, but it becomes more difficult to figure out why a measurement is unexpected
Solution Approach 1:
The patent segments the complete measurement population into logical path segments grouped by waveform characteristics and measurement outcomes. This segmentation reduces anomaly detection difficulty by organizing measurements into manageable groups, allowing users to identify unexpected measurements within specific logical paths rather than searching through all waveform occurrences
Solution Approach 2:
The patent applies local quality by providing different levels of measurement detail in different contexts. For common measurements, a summary view is provided, while for unexpected or abnormal measurements, detailed logical path information is automatically highlighted, making anomaly detection easier without sacrificing measurement coverage
Data Source
AI summary
A test and measurement instrument, including a memory configured to store a waveform data record; one or more processors, and a display. The one or more processors are configured to receive the waveform data record, determine a measurement value and location for a plurality of occurrences of a measurement event in the waveform data record, detect one or more logical path segments in the plurality of occurrences, and generating a visual representation of each measurement value and overlaying each of the visual representations of each measurement value. The visual representations of each measurement value and/or the one or more logical path segments may be displayed on the display.


