Acoustic Engine Diagnostics via Vibration Signatures
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Solution Overview
Problem
Traditional vehicle repair processes rely on limited data from electronic control modules (ECMs), which may produce faulty information and fail to assess physical integrity of engine components, leading to unreliable diagnostics and potential for unnecessary repairs, especially in fleet management where historical data on vehicle performance is not tracked effectively.
Innovation Solution
A computer-based system that uses sensors to capture engine signatures, including vibrations and pressure pulses, and compares them to benchmark signatures to provide diagnostic and predictive analysis, enabling fleet owners to monitor engine health and predict component failure, thereby facilitating timely maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ECM-based diagnostic systems are used, then the system complexity is low and ease of operation is maintained, but the measurement precision of engine physical integrity is insufficient and reliability of diagnostics deteriorates
Solution Approach 1:
The patent replaces traditional mechanical/electronic diagnostic methods with acoustic sensing technology. Acoustic sensors capture engine signatures (vibrations and pressure pulses) that directly reflect the physical integrity of engine components, providing precise measurement without complex mechanical disassembly or invasive procedures
Solution Approach 2:
The patent introduces acoustic sensors as an intermediary between the engine and the diagnostic system. These sensors capture vibrations and pressure pulses that serve as intermediaries to reveal the physical condition of internal engine components, enabling non-invasive assessment of engine health
2Loss of information
If ECM data is used for diagnostics, then the ease of operation is maintained, but the loss of information about physical integrity increases and reliability deteriorates
Solution Approach 1:
The patent replaces ECM-based electronic diagnostics with acoustic-based physical sensing. Acoustic sensors directly capture mechanical vibrations and pressure pulses from engine components, preserving physical integrity information that ECM electrical signals cannot detect
Solution Approach 2:
The engine itself generates the diagnostic information through its normal operation. The vibrations and pressure pulses produced by moving parts during combustion cycles contain inherent information about component condition, requiring no external intervention or modification to the engine
3Reliability
If historical fleet data tracking is implemented, then the reliability of predictive maintenance improves, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent implements continuous monitoring and historical tracking of engine signatures over time, building a database of baseline performance data before failures occur. This preliminary data collection enables predictive analysis and early detection of degradation trends
Solution Approach 2:
The system establishes feedback loops where historical engine signature data is continuously analyzed and compared against baseline performance. This feedback mechanism identifies deviations from normal operation, enabling predictive maintenance decisions based on actual engine condition rather than scheduled intervals
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
The system provides a dynamic engine assessment and predictive analysis, allowing for proactive maintenance decisions, reducing the risk of severe problems and expenses by accurately diagnosing engine issues and predicting mean time to failure of critical components.
Implementation Method 1
sensors to capture engine signatures, including vibrations and pressure pulses
Implementation Method 2
sensors to capture engine signatures, including vibrations and pressure pulses
Data Source
AI summary
Systems and methods may be configured for engine analysis and diagnostics. The system may include a computer including a hardware processor, memory and a user interface. The hardware processor may be in communication with the memory and user interface. The hardware processor may provide operations including to receive engine parameters including at least two of real-time information, analytics information and historical information according to a predefined cylinder configuration of an engine; extract a plurality of frequency ranges from the engine parameters according to the predefined cylinder configuration; compare the at least two of real-time information, analytics information and historical information; and display issue indicators on respective engine regions of an engine diagram having the predefined cylinder configuration and that are associated with engine issues corresponding to respective thresholds for the at least two of real-time information, analytics information and historical information of the plurality of engine parameter sources.