Diagnosis apparatus and diagnosis method
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques fail to detect changes in a device's operational status before it becomes abnormal, leading to potential device failure and disruption of service.
Innovation Solution
A diagnosis apparatus that normalizes reference and diagnosis values using a predetermined normalization rule, allowing for early detection of operational status changes by comparing normalized values during a diagnosis period with those established during a normal estimation period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional abnormality detection methods are used, then device abnormality can be detected, but the device must stop operation for repair and detection occurs only after abnormality has occurred
Solution Approach 1:
The patent applies preliminary action by establishing a normalization rule during a normal estimation period when the device is known to be operating normally. This normalization rule is created in advance and stored, then applied during the diagnosis period to detect transitional changes before abnormality occurs. The diagnosis apparatus uses this pre-established rule to normalize both reference values (from normal period) and diagnosis values (from diagnosis period), enabling early detection of operational status changes before they become actual abnormalities, thus avoiding device downtime.
2Productivity
If device operation continues without early detection, then productivity is maintained, but the device may fail unexpectedly causing service disruption
Solution Approach 1:
The patent implements feedback by continuously acquiring status values from the device during the diagnosis period, normalizing these values using the pre-established normalization rule, and comparing the normalized diagnosis values with normalized reference values. This creates a closed-loop monitoring system that provides ongoing feedback about device operational status, enabling detection of transitional changes while the device continues to operate, thus maintaining productivity while improving reliability through early warning capability.
3Measurement precision
If normalization is applied to detect transitional changes, then early detection of operational status changes is enabled, but additional processing steps are required
Solution Approach 1:
The patent applies parameter changes by transforming the raw status values into normalized values through a mathematical normalization process. The normalization rule, established during the normal estimation period, transforms status values to account for variations in operating conditions. During the diagnosis period, the same normalization rule is applied to diagnosis values, enabling precise comparison and detection of actual operational changes versus normal variations, thus improving measurement precision while managing complexity through a systematic transformation approach.
Data Source
AI summary
A normalization unit acquires a normalized reference value being a value obtained from normalization of a reference value according to a predetermined normalization rule, the reference value being a status value acquired from an air conditioner during a normal estimation period during which the air conditioner is estimated to operate normally, the status value indicating an operational status of the air conditioner. An acquiring unit acquires from the air conditioner, the status value as a diagnosis value during a diagnosis period during which it is not clear whether or not the air conditioner operates normally and which is after the normal estimation period. The normalization unit normalizes the diagnosis value according to the normalization rule.