Vehicle Abnormality Diagnosis Using Condition-Matched Reference Data

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Solution Overview

Problem

Existing technologies struggle to effectively address the challenge of detecting equipment abnormalities by failing to accurately detect equipment abnormalities by failing to accurately detect abnormalities in vehicles due to varying environments and conditions, such as weather and traffic, which complicates the detection of brake system issues.

Innovation Solution

An abnormality sign diagnosis apparatus and method that compares measurement data from a vehicle in operation with previously acquired data from similar environments and conditions to detect abnormalities, using input means, storage means, and processing means to select and analyze data for accurate detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If measurement data is compared with previously acquired normal operation data to detect equipment abnormalities, then abnormality detection capability is improved, but detection accuracy deteriorates when surrounding environment and equipment status differ

Engineering Contradiction:
Improveabnormality detection capabilityVSAvoidabnormality detection accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent applies local quality by selecting reference data that matches the specific local conditions (surrounding environment and equipment status) of the measurement being taken. Instead of using general normal operation data, the system identifies and compares with reference data from similar braking conditions, weather, road gradients, and traffic states, thereby improving detection accuracy for specific local scenarios.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent changes the parameters used for data comparison by incorporating surrounding environment parameters (weather, road gradient, traffic conditions) and equipment status parameters (brake activation state, vehicle speed) into the selection criteria for reference data. This allows the system to adapt the comparison basis to match the current measurement conditions, resolving the contradiction between having reference data available and ensuring it is relevant.

Inventive Principle:
Principle #35Parameter changes

2Quantity of substance

If general normal operation data is used for comparison, then data availability is improved, but detection precision deteriorates due to environmental and status variations

Engineering Contradiction:
Improvedata availabilityVSAvoiddetection precision
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent applies preliminary action by pre-storing multiple sets of reference data corresponding to different surrounding environments and equipment statuses before actual abnormality detection occurs. The system collects and stores normal operation data categorized by various conditions (weather, road gradient, traffic, brake status) in advance, so that when a measurement is taken, the appropriate reference data is already available for comparison without needing to search or generate it in real-time.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP3812218B1Indication diagnosis device and method
Publication Date: 2026.03.11 HITACHI LTD
  • EP3812218B1 patent drawingFigure 1
  • EP3812218B1 patent drawingFigure 2
  • EP3812218B1 patent drawingFigure 3

AI summary

An abnormality sign diagnosis apparatus and an abnormality sign diagnosis method for predicting abnormality highly accurately are provided. The abnormality sign diagnosis apparatus uses measurement data on equipment in operation to find a difference between previously acquired data on the equipment in normal operation and the measurement data on the equipment at a time targeted for diagnosis so as to detect abnormality of the equipment. The abnormality sign diagnosis apparatus includes: input means that inputs the measurement data on the equipment in operation and a surrounding environment and status of the equipment in operation; storage means that stores the data on the equipment in normal operation; and processing means that selects from the storage means the data on the equipment in normal operation in a surrounding environment and status of the equipment similar to the surrounding environment and the status of the equipment at a time which is targeted for diagnosis and at which the data on the equipment in normal operation has been measured, the processing means further detecting abnormality of the equipment using the data of the equipment in normal operation at the time targeted for diagnosis and the data on the equipment in normal operation selected from the storage means.