Gearbox Tooth Number Identification Using Vibration Spectrum Matching
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Solution Overview
Problem
Existing methods fail to accurately estimate gear tooth numbers in gearboxes without invasive measurements or accessible documentation, particularly for older gearboxes where technical data is lost, hindering condition monitoring and maintenance decisions.
Innovation Solution
A method that calculates all feasible tooth combinations based on measured dynamic signals and nameplate values, ranking them by likelihood to match observed dynamic patterns, using algorithms like spectral analysis and shaft order analysis to identify the most likely tooth numbers for diagnostic purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive measurement methods or physical access to gears are used, then measurement precision of gear tooth numbers is improved, but ease of operation and device complexity worsen
Solution Approach 1:
The patent replaces direct mechanical measurement methods (invasive physical access to gears) with signal processing and spectral analysis of dynamic vibrations. The system uses measured dynamic signals and spectral analysis to estimate gear tooth numbers without requiring physical access to the gears themselves, thus resolving the contradiction between measurement precision and ease of operation.
Solution Approach 2:
The patent introduces an intermediary approach by using dynamic vibration signals as a mediator between the gearbox and the measurement system. Instead of directly measuring gear tooth numbers, the system measures vibrations transmitted through the gearbox and uses spectral analysis to infer tooth numbers, enabling non-invasive measurement.
2Measurement precision
If technical documentation is required for accurate tooth number identification, then measurement precision is improved, but loss of information worsens for older gearboxes
Solution Approach 1:
The patent enables the gearbox to self-identify its own parameters through its dynamic behavior. By analyzing the vibrations naturally produced during operation, the system extracts gear tooth number information without requiring external documentation. The gearbox essentially measures itself through its own dynamic characteristics.
Solution Approach 2:
The patent replaces reliance on documentation (information-based approach) with direct physical measurement and signal analysis (engineering-based approach). By using spectral analysis of dynamic signals, the system obtains tooth number information directly from the gearbox's mechanical behavior rather than from potentially lost technical records.
3Measurement precision
If spectral analysis and diagnostic algorithms are applied, then diagnostic accuracy is improved, but device complexity worsens
Solution Approach 1:
The patent segments the complex diagnostic problem into distinct processing stages: signal acquisition, spectral analysis, peak detection, and tooth number estimation. By breaking down the diagnostic process into manageable segments, the system achieves high diagnostic accuracy while keeping each individual processing step relatively simple and well-defined.
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
Enables non-invasive estimation of gear tooth numbers, facilitating condition monitoring and maintenance decisions for older gearboxes by matching calculated tooth combinations with observed dynamic patterns, improving diagnostic accuracy and operational decision-making.
Implementation Method 1
measured dynamic signals
Implementation Method 2
vibration sensor
Implementation Method 3
spectral analysis
Implementation Method 4
spectral analysis
Data Source
AI summary
A method for identifying gear tooth numbers in a gearbox using data obtained from a vibration measuring device delivered to a data acquisition device and data delivered by a user to a computer device, comprising: processing data delivered by a user to the computer device, where the data comprises a gearbox ratio and a number of stages of a gearbox for calculating a potential gear tooth combination in each stage of a gearbox, calculating frequencies of characteristic features for each potential tooth combination using the data delivered at the processing data, measuring vibration signals of the gearbox, calculating a frequency spectrum from measured data delivered at the measuring, determining an amplitude of components, of the frequency spectrum delivered at the calculating a frequency spectrum at frequencies of characteristic features for each potential tooth combination delivered at the calculating frequencies of characteristic features.