Vehicle Vibration State Recognition Using Mahalanobis-Taguchi
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Solution Overview
Problem
Existing state recognition devices for vehicles require high-performance hardware resources and have limited design freedom due to complex calculation processes and restricted diagnostic conditions, particularly when identifying the deterioration state of catalysts or misfire in engines.
Innovation Solution
A method for producing a state recognition device using the Mahalanobis-Taguchi (MT) method to calculate a unit space based on continuous vibration signals, allowing for the generation of a Mahalanobis' distance output unit that identifies whether a vehicle state is predetermined or not, without requiring signal levels or complex calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complicated calculation processes are used to identify vehicle states, then identification accuracy is improved, but hardware resource requirements increase and design freedom decreases
Solution Approach 1:
The patent changes the parameter of calculation complexity by introducing a simplified evaluation index based method. Instead of using complicated calculation processes, the invention transforms the identification approach to use predetermined evaluation indexes that require minimal calculation, thereby reducing hardware resource requirements while maintaining identification accuracy.
Solution Approach 2:
The patent replaces expensive, high-performance hardware resources with simpler, more affordable computing components. By using predetermined evaluation indexes and simplified calculation methods, the system achieves the same identification function with less powerful (and therefore cheaper) processors and memory, increasing design freedom.
2Productivity
If high-performance hardware resources are used, then identification frequency is improved, but device complexity and cost increase
Solution Approach 1:
The patent changes the parameter of computational load by using simplified evaluation index calculations. This allows the system to perform identifications more frequently without requiring high-performance hardware, as each identification cycle consumes minimal computational resources.
Solution Approach 2:
The patent enables periodic identification at high frequency by using lightweight calculation methods. The simplified evaluation index approach allows the system to repeatedly perform identifications in short time intervals without overwhelming the hardware, effectively increasing identification frequency with modest resources.
3Device complexity
If restricted diagnostic conditions are applied, then calculation process is simplified, but identification opportunities are reduced
Solution Approach 1:
The patent creates a universal evaluation index system that can be applied across multiple diagnostic scenarios and vehicle operating conditions. The predetermined evaluation indexes are designed to work under various conditions without requiring complex conditional logic, thereby simplifying the calculation process while maintaining broad applicability and frequent identification opportunities.
Solution Approach 2:
The patent performs preliminary preparation by establishing predetermined evaluation indexes before actual identification operations. These pre-configured indexes eliminate the need for complex real-time calculations and conditional judgments during operation, allowing rapid and frequent identifications under diverse conditions without increasing calculation complexity.
Data Source
AI summary
A method for producing a state recognition device configured to output an identification period identifying a state of a vehicle or a state of part of the vehicle includes: a unit space calculation step of calculating a unit space by means of a Mahalanobis-Taguchi, MT, method, based on sets of data per unit period of a continuous vibration signal in which a signal disturbance is occurring, which are less susceptible to a variation including both increase and decrease and are obtained in an identification period; and a Mahalanobis' distance output unit generation step of generating a Mahalanobis' distance output unit based on the calculated unit space, in the identification period that is as long as or longer than a half of one cycle when a cycle of vibration of the continuous vibration signal is undisturbed and is arranged so that one driving cycle includes plural identification periods, the data of the continuous vibration signal being data when the signal disturbance, which is at least one of a change of the center of vibration, a change of amplitude of vibration, or disturbance of the cycle of vibration, is occurring in the continuous vibration signal due to a change of at least one of the driving environment or the driving state of the vehicle.