Reconfigurable Abnormality Diagnosis for Changing Sensors and Algorithms
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Solution Overview
Problem
Existing abnormality diagnosis systems require modification when diagnosis targets or sensors change, and lack flexibility in adapting to new diagnosis algorithms, making it difficult to compare priorities between different algorithms.
Innovation Solution
An abnormality diagnosis system that includes a diagnosis processing search unit to find the optimal diagnosis processing procedure and a reconfigurable processing unit to adapt the system accordingly, using a combination of reconfigurable electronic circuits and CPUs to reconfigure processing procedures and algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the diagnosis processing content is fixed, then the system structure is simple, but the system cannot adapt to new diagnosis targets or sensors
Solution Approach 1:
The diagnosis processing unit is designed to be dynamically reconfigurable through the diagnosis processing search unit, which automatically searches for and determines optimal processing procedures based on input signals. This allows the system to adapt to different diagnosis targets and sensors without requiring manual reconfiguration or complex hardwired changes.
Solution Approach 2:
The system performs self-configuration through the diagnosis processing search unit, which automatically searches for and determines the appropriate processing procedures based on the input signals and diagnosis requirements. This eliminates the need for external intervention when adapting to new diagnosis targets, reducing overall system complexity.
2Adaptability or versatility
If the diagnosis processing content is fixed, then the system is easy to manufacture, but modification is required when diagnosis targets change
Solution Approach 1:
The diagnosis processing unit is designed as a universal platform that can handle multiple diagnosis targets and sensors through automatic procedure search. The same hardware structure serves multiple functions by dynamically loading different processing procedures, eliminating the need for separate systems for each diagnosis target.
Solution Approach 2:
The system adapts to different diagnosis targets by changing processing parameters and procedures through the diagnosis processing search unit, rather than requiring physical modifications to the hardware. This allows a single manufactured system to serve multiple purposes through software-level parameter changes.
3Reliability
If a new diagnosis algorithm is developed, then diagnostic capability is improved, but there is no way to compare priority with existing algorithms
Solution Approach 1:
The diagnosis processing search unit implements a feedback mechanism that evaluates multiple diagnosis algorithms and automatically determines the optimal processing procedure based on performance criteria. This feedback loop allows systematic comparison of different algorithms and automatic selection of the most effective one for given conditions.
Solution Approach 2:
The system performs preliminary evaluation and comparison of diagnosis algorithms through the search unit before actual diagnosis execution. By pre-determining the optimal processing procedure based on input signals and algorithm performance, the system avoids complex runtime decisions and ensures reliable diagnosis accuracy.
Data Source
AI summary
The abnormality diagnosis system detects a failure sign of a device to be diagnosed. The abnormality diagnosis system includes: a diagnosis process search unit which searches for a suitable diagnosis processing procedure by comparing a plurality of diagnosis processing procedures, and outputs reconfiguration information corresponding to the suitable diagnosis processing procedure; and a diagnosis processing unit which has a reconfigurable processing unit and which uses the suitable diagnosis processing procedure found by the diagnosis process search unit to detect a failure sign of the device to be diagnosed by reconfiguring the processing unit on the basis of the reconfiguration information.