Circuit Breaker Anomaly Diagnosis Using Factor Probability Analysis
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Solution Overview
Problem
Conventional diagnostic techniques for circuit-making or breaking devices require detailed investigations to identify anomaly factors, making it difficult to obtain useful information for improving the operating state of the device.
Innovation Solution
A diagnostic apparatus that includes a factor probability calculation unit to determine the probability of each potential factor causing a symptom, allowing for the identification of necessary improvements in the operating state of the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic techniques are used to identify anomaly factors, then detailed investigations can be performed, but it becomes difficult to obtain useful information for improving the operating state of the device
Solution Approach 1:
The diagnostic process is segmented into two distinct stages: first, precise identification of anomaly factors through detailed investigation, and second, generation of improvement information based on the identified factors. This segmentation allows each stage to focus on its specific objective without compromise.
Solution Approach 2:
A diagnostic apparatus serves as an intermediary between the detailed investigation process and the improvement information generation. The apparatus processes investigation results and transforms them into actionable improvement information, bridging the gap between precise anomaly identification and useful improvement guidance.
2Measurement precision
If detailed investigations are conducted to identify anomaly factors, then accurate diagnosis can be achieved, but the complexity and time required for diagnosis increases
Solution Approach 1:
The system performs preliminary classification of anomalies into distinct types (contact deterioration, operation mechanism abnormalities, etc.) with predetermined diagnostic criteria. This preliminary action structure allows for rapid identification of the anomaly type, reducing the time required for detailed investigation while maintaining diagnostic accuracy.
Solution Approach 2:
The diagnostic approach changes parameters by focusing on key indicative parameters for each anomaly type rather than examining all possible factors equally. This selective parameter analysis maintains diagnostic precision while significantly reducing the time and complexity of the diagnostic process.
3Reliability
If comprehensive monitoring of operating characteristics is implemented, then anomaly detection capability is improved, but the complexity of the diagnostic system increases
Solution Approach 1:
The monitoring system is segmented into specialized sub-systems, each dedicated to detecting specific anomaly types (contact deterioration detection, operation mechanism abnormality detection, etc.). This segmentation improves detection capability for each specific anomaly while keeping individual sub-systems relatively simple and manageable.
Solution Approach 2:
The diagnostic apparatus is designed with multi-functionality to handle various anomaly types through a unified processing framework. The system can detect and diagnose multiple different anomaly types using a single integrated platform, reducing overall system complexity compared to having separate specialized systems for each anomaly type.
Data Source
AI summary
A diagnostic apparatus diagnoses a symptom of anomaly in a device that operates for making or breaking a circuit. The diagnostic apparatus includes a factor probability calculation unit that calculates a factor probability. The factor probability calculation unit calculates a factor probability for each matter that may be a factor in a symptom observed in the device, the factor probability being a probability that the matter truly corresponds to a factor for the observed symptom. The diagnostic apparatus can obtain useful information for improving the operating state of the device.