Signal Processing Device for Rotating Machine Vibration Diagnosis
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Solution Overview
Problem
In vibration diagnosis of rotating machines, existing methods struggle to accurately analyze signal components that are not synchronized with the rotation pulse signal, leading to reduced diagnostic effectiveness.
Innovation Solution
A signal processing method that generates analysis object data and performs product-sum operation processing on template data and analysis object data while shifting phases, allowing for synchronous timing detection even when the signal component is not initially synchronized, using a signal processing device with specific circuits for data generation, product-sum operation, and synchronous timing detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a vibration time waveform is obtained using a rotation pulse signal as an absolute reference, then synchronous vibration waveform components can be extracted, but signal components not synchronized with the rotation pulse signal are reduced
Solution Approach 1:
The patent segments the vibration signal analysis by creating multiple analysis object data sets with different phase relationships. Instead of using a single rotation pulse reference, the system divides the analysis into multiple segments (first analysis object data, second analysis object data, etc.) each processed with different phase shifts, allowing comprehensive capture of both synchronous and non-synchronous signal components
Solution Approach 2:
The patent performs preliminary phase shifting operations on the analysis object data before conducting the product-sum operation. By pre-shifting the phase of the analysis object data to match the template data, the system ensures that signal components regardless of their original phase relationship with the rotation pulse can be properly aligned and extracted during the correlation analysis
2Productivity
If template data is made shorter to improve processing efficiency, then processing speed increases, but detection accuracy of synchronous timing may be affected
Solution Approach 1:
The patent optimizes the template data length parameter to achieve an optimal balance between processing efficiency and detection accuracy. By carefully selecting the template length to be shorter than the analysis object data while maintaining sufficient correlation information, the system improves computational speed without significantly compromising the ability to accurately detect synchronous timing
3Measurement precision
If product-sum operation is performed with phase shifting to detect synchronous timing, then detection accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies partial phase shifting operations rather than exhaustive analysis of all possible phases. By performing product-sum operations with selective phase shifts on the analysis object data, the system achieves sufficient detection accuracy without the computational burden of analyzing every possible phase relationship, thus reducing overall computational complexity
Data Source
AI summary
A signal processing method includes: an analysis object data generation step of generating i-th analysis object data based on time-series data of a physical quantity detected by an i-th sensor; a product-sum operation step of generating product-sum operation data of template data including a signal component to be analyzed and M-th analysis object data; and a synchronous-timing detection step of detecting a synchronous timing, which is timing synchronizing with the signal component, based on the product-sum operation data. The template data is shorter than the M-th analysis object data, and a sampling rate of the M-th analysis object data is equal to a sampling rate of the template data.