Soft-Field Tomography Fault Correction via Precomputed Patterns
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Solution Overview
Problem
Soft-field tomography systems, such as Electrical Impedance Spectroscopy (EIS) and Electrical Impedance Tomography (EIT), face robustness issues and data loss due to transducer faults like high contact impedance or disconnection, which are not effectively addressed by existing technologies.
Innovation Solution
A system and method that precompute default and fault excitation patterns along with corresponding predicted responses for various transducer configurations, allowing real-time detection and adaptation to fault conditions by selecting appropriate excitation patterns and responses to maintain continuous data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precomputed excitation patterns are used for optimal signal quality, then measurement precision is improved, but system reliability deteriorates when transducer faults occur
Solution Approach 1:
The system precomputes multiple excitation patterns corresponding to different fault conditions (normal operation, single transducer failure, multiple transducer failures) before actual measurement. When a fault occurs, the system selects the precomputed excitation pattern that matches the detected fault condition, enabling continuous operation without data loss and maintaining both signal quality and system reliability.
2Productivity
If the system continues operation after transducer failure, then productivity is maintained, but measurement precision deteriorates due to unsuitable excitation patterns
Solution Approach 1:
The system incorporates real-time monitoring of transducer responses to detect fault conditions. When a fault is detected (e.g., abnormal impedance, signal loss), the system provides feedback to select the appropriate precomputed excitation pattern corresponding to that fault condition. This feedback mechanism enables the system to maintain continuous operation while preserving measurement precision by adapting the excitation pattern to the actual transducer configuration.
3Reliability
If the system detects and responds to fault conditions, then reliability is improved, but device complexity increases due to fault detection and adaptation mechanisms
Solution Approach 1:
Instead of implementing complex real-time fault correction algorithms, the system precomputes multiple excitation patterns for different fault scenarios and stores them in a lookup table. When a fault is detected, the system simply retrieves the appropriate precomputed pattern, significantly reducing computational complexity while maintaining high reliability. This approach trades minimal storage space for substantial reliability improvement.
Data Source
AI summary
A soft-field tomography system includes a plurality of transducers configured for positioning at a surface of an object. An excitation driver is configured to generate a precomputed default excitation pattern for the plurality of transducers. A processor stores the precomputed default excitation pattern and a corresponding predicted response for the precomputed excitation pattern. The processor further stores one or more precomputed fault excitation patterns and corresponding predicted response for the fault excitation patterns corresponding to one or more fault conditions of the plurality of transducers. A response measurement device is configured to measure a response at one or more of the transducers to determine if a fault condition exists. If a fault condition exists, the processor at least one of instructs the excitation driver to generate a precomputed fault excitation pattern or uses a predicted response that corresponds to the fault condition for a soft field tomography process.