Operator Network Event Detection for Material Process Quality
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Solution Overview
Problem
Existing methods for identifying events in material processing or production processes using multi-dimensional data streams struggle with accurate discrimination and require complex adaptation to specific processes, leading to incorrect rejection or acceptance of components.
Innovation Solution
A measuring device with an operator network that allows flexible adaptation via a graphical user interface, incorporating decision and pattern operators to analyze high-frequency data streams, enabling precise identification of events and noise filtration, and providing a decision-making capability for determining component quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simple pattern recognition is used for event identification, then the device complexity is reduced, but the measurement precision and discrimination accuracy deteriorate
Solution Approach 1:
The evaluation process is segmented into multiple sequential steps: initial pattern recognition to identify potential events, followed by detailed analysis of specific characteristics (frequency, energy, temporal patterns), and finally discrimination between different event types. This multi-stage segmentation allows simple initial filtering while achieving high precision through progressive refinement.
Solution Approach 2:
The system transitions from two-dimensional pattern matching (time-frequency) to three-dimensional evaluation by adding the energy dimension. Events are characterized not only by their temporal and spectral properties but also by their energy distribution across frequency bands, enabling more accurate discrimination between similar events and reducing false identifications.
2Adaptability or versatility
If comprehensive pattern databases are created for different processes, then the adaptability to specific processes is improved, but the device complexity and adaptation effort increase
Solution Approach 1:
The system employs universal evaluation criteria and characteristic parameters that can be applied across different material processing processes (machining, injection molding, forming, welding, etc.). Rather than creating entirely process-specific evaluation models, the same core evaluation framework is used with adjustable thresholds and weightings, enabling one system to serve multiple processes without proportional increases in complexity.
Solution Approach 2:
The system adapts to different processes by adjusting evaluation parameters such as frequency ranges, energy thresholds, and temporal window sizes rather than changing the fundamental evaluation logic. This parameter-based adaptation allows comprehensive process coverage while maintaining a consistent, manageable system architecture.
3Adaptability or versatility
If multiple patterns with similar agreement levels are identified, then the coverage of different event types is improved, but the reliability of event classification deteriorates
Solution Approach 1:
The system implements feedback mechanisms where initial pattern matching results are evaluated against multiple criteria (frequency match, energy distribution, temporal characteristics). When multiple patterns show similar agreement levels, the system uses feedback from additional characteristic analysis to discriminate between them, continuously refining the classification until a reliable determination is made or uncertainty is quantified.
Solution Approach 2:
Rather than relying on a single pattern match threshold, the system performs excessive analysis by evaluating multiple characteristics and patterns simultaneously. Even when one pattern shows strong agreement, the system continues to evaluate other potential patterns and characteristics to ensure no significant event type is missed, accepting some redundant computation to maintain high classification reliability.
Data Source
AI summary
A measuring device comprising a sensor for the high frequency detection of a measurement variable, such as sound, structure-borne noise, current, voltage, optical or magnetic measurement values and the like, with an operator network comprising at least one operator. An operator network that includes a notification operator, a machine control operator and/or a difference operator. The devices can be configured to identify events in a material-processing and/or material production process on the basis of a multidimensional data stream obtained during the process and having temporally resolved frequency and energy information, and to the use of defect patterns and/or event patterns and/or energy data, the data being supplied to a pattern operator or multiple pattern operators arranged in parallel or one after the other.