Machine Vibration Monitoring with Peak and Fourier Signal Analysis
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Solution Overview
Problem
Current methods for analyzing the condition of machines with rotating parts, such as shock pulse measuring apparatus, face challenges in accurately detecting peak values and providing consistent data for condition monitoring, particularly in identifying incipient damage and lubrication conditions.
Innovation Solution
An apparatus that includes a transducer for generating analogue measurement signals from machine vibrations, an A/D converter for digital signal processing, a peak value detector, and a Fourier Transformer, which together generate condition values and transformed signals indicative of vibration signal repetition frequency, allowing for consistent and concurrent data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If shock pulse measuring apparatus is used to detect peak values, then machine condition monitoring is enabled, but measurement precision deteriorates due to inconsistent peak value detection
Solution Approach 1:
The patent segments the measurement process into distinct functional modules: a peak value detector for identifying peak values in the time domain signal, a Fourier transformer for frequency domain analysis, and a decimator for signal processing. This segmentation allows each module to optimize its specific function, improving overall measurement precision while maintaining reliable condition monitoring.
Solution Approach 2:
The patent replaces traditional mechanical shock pulse measurement methods with digital signal processing techniques. By using an A/D converter to digitize the analog measurement signal and applying digital algorithms (peak value detector, Fourier transformer), the system achieves more precise and consistent peak value detection compared to conventional mechanical approaches.
2Loss of information
If multiple analysis methods are used simultaneously, then comprehensive condition data is obtained, but device complexity increases
Solution Approach 1:
The patent merges multiple analysis methods (time domain peak value detection and frequency domain Fourier analysis) into a single integrated apparatus. The measurement signal processing unit combines both detectors and the decimator in one system, allowing comprehensive condition data acquisition without requiring separate independent devices, thus managing device complexity while maintaining data completeness.
Solution Approach 2:
The measurement signal processing unit is designed as a multi-functional device that can perform both peak value detection in the time domain and frequency spectrum analysis via Fourier transformation. This universal apparatus handles multiple analysis functions simultaneously, reducing the need for separate specialized devices and simplifying the overall system structure.
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 reliable detection of machine condition by providing consistent condition values and transformed signals based on the same measurement data, effectively identifying lubrication and mechanical conditions, including incipient damage, and determining its location.
Implementation Method 1
a transducer (10) for generating an analogue measurement signal (SEA) in response to machine vibration
Data Source
AI summary
A method for analyzing the condition of a machine, and an apparatus for analyzing the condition of a machine are described.