Abnormality Diagnosis Using Vector Distance and Angle
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Solution Overview
Problem
Existing abnormality diagnosis techniques using distance between vectors are inadequate as they may incorrectly determine abnormality when the magnitude of the input vector changes, leading to inaccurate diagnosis.
Innovation Solution
A diagnosis device that uses both a first index value indicating the distance between an input vector and a reference vector, and a second index value indicating the angle between the input vector and another reference vector to accurately diagnose abnormality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only the distance between vectors is used as a criterion for determining waveform similarity, then the diagnosis method is simple, but the diagnosis accuracy deteriorates when the magnitude of input vectors changes
Solution Approach 1:
The patent transitions from using only a one-dimensional distance metric to employing two-dimensional evaluation by introducing both distance and angle between vectors. This dimensional expansion allows the system to evaluate waveform similarity from multiple perspectives, preventing erroneous diagnoses when magnitude changes occur while maintaining comprehensive assessment capability.
Solution Approach 2:
The patent changes the evaluation parameters from a single distance metric to a combination of two parameters: distance and angle between vectors. By modifying the diagnostic criteria to include angular information in addition to distance, the system achieves more accurate waveform similarity assessment that is insensitive to magnitude variations.
2Power
If the distance between vectors is used as the sole criterion, then the calculation is simple, but erroneous determination of abnormality occurs when magnitude varies
Solution Approach 1:
The patent adds an angular dimension to the evaluation space, transforming the sole reliance on distance-based calculation into a dual-parameter system. This dimensional supplement enables the system to distinguish between magnitude changes and actual waveform abnormalities, significantly improving determination reliability while maintaining computational feasibility through standard vector operations.
Solution Approach 2:
The patent creates a composite diagnostic criterion by combining two different evaluation metrics (distance and angle) into a unified abnormality determination system. This composite approach leverages the strengths of both metrics: distance for overall similarity assessment and angle for directional/shape consistency, resulting in more reliable abnormality detection.
3Ease of operation
If only distance metric is applied, then the diagnosis process is straightforward, but accuracy deteriorates due to magnitude variations
Solution Approach 1:
The patent enhances the diagnosis process by incorporating angular measurement as a supplementary dimension to the traditional distance metric. This addition maintains operational straightforwardness through clear computational steps while dramatically improving measurement accuracy by eliminating sensitivity to magnitude variations in the input vectors.
Data Source
AI summary
A diagnosis device (10) includes an acquirer (101) and a diagnoser (140). The acquirer (101) acquires a series of input values as an input signal to be diagnosed as to presence or absence of abnormality. The diagnoser (140) diagnoses the presence or absence of the abnormality from (i) a first index value indicating a distance between an input vector and a predetermined first reference vector, the input vector having components that are the input values of the series acquired by the acquirer (101), and (ii) a second index value indicating an angle between the input vector and a predetermined second reference vector.