Motor Abnormality Diagnosis Using Healthy System Comparison
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Solution Overview
Problem
Conventional abnormality diagnosis methods for motor systems, such as those in electric aircraft, vehicles, and ships, face challenges in accurately detecting abnormalities when phase current values are below threshold or within predetermined ranges, leading to undetected issues.
Innovation Solution
An abnormality diagnosis system that identifies a comparison target system among multiple motor systems, acquires state-related values like phase current, and compares them to diagnose abnormalities by determining differences exceeding predefined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional abnormality diagnosis methods use predetermined threshold values for phase current, then the diagnosis method is simple to implement, but abnormalities with phase current below threshold or within range are not detected accurately
Solution Approach 1:
The patent creates a virtual copy of the healthy motor system by selecting a comparison target motor from the plurality of motors that is determined to be in a healthy state. This comparison target serves as a reference model to compare against the diagnosis target, enabling accurate abnormality detection without complex threshold settings by simply comparing state-related values between the two systems.
Solution Approach 2:
The patent changes from using fixed predetermined threshold values to using dynamic comparison based on state-related values from a healthy comparison target. By selecting a comparison target motor and comparing its state-related values (such as phase current, temperature, vibration) with the diagnosis target, the system adapts to varying operating conditions and accurately detects abnormalities across different ranges.
2Reliability
If conventional methods use fixed threshold ranges for diagnosis, then the diagnosis process is straightforward, but false negatives occur when phase current is below threshold or within predetermined range
Solution Approach 1:
The system creates a reliable reference by copying the operational characteristics of a healthy motor (the comparison target) and uses this reference to evaluate the diagnosis target. This approach improves diagnostic reliability by comparing actual values against a dynamic healthy reference rather than static thresholds, reducing false negatives while maintaining operational simplicity through automated comparison logic.
Solution Approach 2:
The system performs preliminary identification of a comparison target motor that is determined to be in a healthy state before conducting the abnormality diagnosis. This preliminary action establishes a reliable baseline for comparison, ensuring that the diagnosis process starts with a known good reference, thereby improving reliability without significantly increasing operational complexity.
3Measurement precision
If the system compares state-related values between multiple motor systems, then abnormality detection accuracy improves, but the complexity of the diagnosis system increases
Solution Approach 1:
The patent segments the plurality of motor systems into two distinct groups: a diagnosis target system and a comparison target system. This segmentation allows the system to perform focused comparisons between one diagnosis target and one selected healthy comparison target, rather than requiring complex multi-dimensional comparisons across all systems, thereby improving detection precision while controlling system complexity.
Solution Approach 2:
The system uses a comparison target motor as a virtual copy or reference model of a healthy system. By copying the operational characteristics of this healthy reference and comparing it with the diagnosis target, the system achieves high abnormality detection precision without the need for complex analysis of all motor systems simultaneously.
Data Source
AI summary
An abnormality diagnosis system performs an abnormality diagnosis of a plurality of motor systems that include a motor for moving a moving body. The abnormality diagnosis system identifies a comparison target system that is the motor system, among the motor systems, that is a comparison target in relation to a diagnosis target system that is the motor system to be a target of the abnormality diagnosis. The abnormality diagnosis system acquires a state-related value that is a value related to an operation state of the motor from each of the diagnosis target system and the comparison target system. The abnormality diagnosis system performs a comparison of the state-related value that is acquired from the diagnosis target system and the state-related value that is acquired from the comparison target system, and diagnoses a presence or absence of an abnormality in the diagnosis target system using a result of the comparison.