Automatic Transmission Shift Shock Diagnosis Using G-Sensor Vibration
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Solution Overview
Problem
Automatic transmission maintenance is hindered by the difficulty in identifying malfunctioning parts, such as those causing shift shock or juddering, due to the lack of standard criteria and skilled mechanics, leading to excessive maintenance costs and quality issues.
Innovation Solution
An apparatus and method utilizing a G-sensor and transmission/engine sensors to detect vibration signals and determine abnormal operations like shift shock, shifting delays, and damper clutch impacts, identifying replacement-required parts during vehicle driving, by calculating fluctuation levels and comparing engine and turbine speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional maintenance methods are used without standardized diagnostic criteria, then maintenance costs increase due to excessive part replacement, but the ability to identify malfunctioning parts remains insufficient
Solution Approach 1:
The patent uses vibration signal analysis to create a diagnostic fingerprint that identifies malfunctioning parts, similar to how color changes indicate states. The system transforms invisible vibration patterns into actionable diagnostic information through spectral analysis, enabling reliable identification of specific malfunctioning components without standardized external criteria
Solution Approach 2:
The patent replaces traditional mechanical diagnostic methods with sensor-based vibration analysis. Instead of relying on mechanic skills and manual inspection, the system uses G-sensors and spectral analysis to automatically identify malfunctioning parts, transforming a skill-dependent mechanical process into an automated information-based system
2Ease of manufacture
If partial repair is implemented to reduce maintenance costs, then the cost decreases, but the difficulty of identifying malfunction-causing parts increases due to lack of skilled mechanics and standard criteria
Solution Approach 1:
The patent enables the transmission system to self-diagnose by analyzing its own vibration signals. The G-sensors mounted on the transmission housing capture vibrations that naturally occur during operation, and the controller processes these signals to identify malfunctioning parts, allowing the system to perform its own maintenance assessment without external expertise
Solution Approach 2:
The patent introduces vibration signal analysis as an intermediary between the malfunctioning part and the diagnostic system. Instead of directly observing the malfunction, the system detects indirect vibration signatures that characteristic of specific failures, using spectral analysis to translate these intermediate signals into actionable diagnostic information
3Measurement precision
If vibration signal analysis is performed to identify malfunctioning parts, then diagnostic accuracy improves, but the complexity of the diagnostic system increases
Solution Approach 1:
The patent segments the vibration analysis into distinct frequency bands and spectral components. By dividing the complex vibration signal into manageable frequency ranges and analyzing each segment separately, the system achieves high diagnostic precision while keeping the processing complexity manageable through structured analysis
Solution Approach 2:
The patent creates a universal diagnostic system that can identify multiple types of malfunctioning parts using the same vibration analysis framework. The G-sensors and controller serve multiple functions: detecting vibrations, performing spectral analysis, identifying different failure modes, and guiding repairs, reducing the need for separate diagnostic tools for each component
4Productivity
If shift shock events are detected during driving to identify malfunctioning parts, then the ability to diagnose during operation improves, but the difficulty of filtering out normal driving vibrations increases
Solution Approach 1:
The patent utilizes the periodic nature of vibration signals during shifting operations to identify shift shock events. By analyzing the frequency and timing patterns of vibrations that occur periodically during gear changes, the system can distinguish abnormal shift shocks from normal driving vibrations through their characteristic periodic signatures
Solution Approach 2:
The patent performs preliminary identification of shifting operations using shift stage information from the transmission control unit. Before analyzing vibration signals for abnormalities, the system first identifies when shifting is supposed to occur based on operational data, then compares expected versus actual vibrations during these predetermined shifting windows to detect anomalies
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate identification of malfunctioning parts, reducing maintenance costs through partial repairs and improving maintenance reliability by providing a database for evaluating and addressing customer complaints.
Implementation Method 1
a G-sensor configured to measure a vibration signal including a longitudinal vibration signal
Data Source
AI summary
An apparatus for diagnosing an automatic transmission for detecting abnormality during driving of a vehicle includes a G-sensor configured to measure a vibration signal including a longitudinal vibration signal, a status detection unit configured to obtain the vibration signal of the G-sensor and status data of transmission and engine sensors of the vehicle, and a controller configured to check an operational element for each shifting operation by using a current shift-stage, a target shift-stage, and a shifting time detected as the status data, measure the longitudinal vibration signal of the G-sensor to calculate fluctuation level of the longitudinal vibration signal for each operational element, and determine a shift shock event when a longitudinal vibration signal value after adjustment based on driving acceleration of the vehicle exceeds a reference value.