Failure Sign Detection Using Integrated Deviation Index
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Solution Overview
Problem
Existing vehicle-mounted device failure detection systems either lead to unnecessary replacements due to erroneous determinations or fail to timely identify devices on the brink of failure, as they either rely on transient parameter oscillations or lose critical failure information when the system is powered off.
Innovation Solution
A failure sign detection apparatus that compares sensor values to predetermined thresholds, calculates a failure sign evaluation index based on abnormality duration and threshold differences, and stores this index for later use, allowing for accurate detection and timely repair or replacement of vehicle-mounted devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of times of occurrence of an abnormal state is recorded to determine whether a device has failed, then failure detection capability is improved, but a device operating normally may be erroneously determined to have failed due to parameter oscillation
Solution Approach 1:
The invention changes from counting abnormal state occurrences to calculating an integrated value that accumulates the degree of abnormality over time. The integrated value is calculated by integrating the absolute value of the difference between the parameter and its normal value, transforming the detection basis from frequency counting to cumulative deviation measurement, thereby resolving the contradiction between detection capability and determination accuracy
Solution Approach 2:
The invention introduces an integrated value as an intermediary parameter between the raw parameter oscillations and the failure determination. This integrated value serves as a mediator that filters out transient oscillations while accumulating genuine degradation trends, enabling more accurate failure prediction without false positives from normal parameter variations
2Reliability
If the area value of oxygen sensor is used to determine device status, then ability to detect devices on the brink of failure is improved, but critical failure information is lost when the detection system is powered off
Solution Approach 1:
The invention performs preliminary action by continuously calculating and storing the integrated value in non-volatile memory before system shutdown. This ensures that the accumulated failure information is preserved in advance, preventing data loss when the detection system is powered off, while maintaining the ability to detect devices on the brink of failure
Solution Approach 2:
The invention creates a copy of the critical failure information (integrated value) in non-volatile memory, separate from the volatile memory used for real-time processing. This copying mechanism ensures that failure information is preserved independently of the detection system's power state, allowing information retention across system restarts
3Measurement precision
If abnormal state determination is made after parameter oscillation between normal and abnormal ranges, then false failure determination is reduced, but devices on the brink of failure may not be identified at appropriate timing
Solution Approach 1:
The invention changes the determination criterion from a simple threshold-based abnormal state count to an integrated value that accumulates the magnitude of deviations over time. This parameter transformation allows the system to distinguish between transient oscillations (small integrated values) and genuine degradation (large integrated values), improving timing accuracy for detecting devices on the brink of failure
Solution Approach 2:
The system performs preliminary calculation of the integrated value continuously, preparing the failure prediction data in advance. This preliminary action enables timely detection of devices on the brink of failure without waiting for multiple abnormal state occurrences, reducing the time loss while maintaining determination accuracy
Data Source
AI summary
The failure sign detection apparatus includes an abnormality detector to make a comparison between a failure detection parameter of a vehicle device mounted on a vehicle and a predetermined abnormality detection threshold, and make a determination whether there is an abnormality in the vehicle device based on a result of the comparison, a failure sign evaluation index calculator to calculate a failure sign evaluation index for evaluating a sign of failure of the vehicle device based on an abnormality duration period over which the detected abnormality continues and a parameter threshold difference indicative of a difference between the abnormality detection threshold and the failure detection parameter, and a failure sign detector to detect a sign of failure of the vehicle device based on the failure sign evaluation index calculated by the failure sign evaluation index.