Signal Processing Method for Vibration State Diagnosis
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Solution Overview
Problem
Current vibration diagnosis methods for rotating devices require preprocessing with signal conditioners like PLL, tracking filters, or low-pass filters to obtain rotation pulse signals, which is cumbersome and inefficient.
Innovation Solution
A signal processing method that acquires time waveforms from sensors, generates frequency spectra, and calculates a difference between phases of signal components corresponding to peaks in these spectra, using rational multiples of frequencies to indicate the state of the object, eliminating the need for rotation pulse signals and preprocessing filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If preprocessing with signal conditioners (PLL, tracking filter, low-pass filter) is used to obtain rotation pulse signals, then the vibration waveform component synchronized with rotation can be extracted, but the device complexity and difficulty of operation increase
Solution Approach 1:
The invention extracts only the necessary information (phase and frequency) directly from the vibration signal itself, rather than using complex preprocessing to obtain rotation pulse signals. The phase detector extracts phase information and the frequency detector extracts frequency information directly from the vibration waveform, eliminating the need for separate rotation pulse signal processing
Solution Approach 2:
The vibration signal serves multiple functions simultaneously: it provides both the vibration waveform for analysis and the reference signal for phase/frequency detection. The same vibration signal is used to generate both the spectrum waveform and the rotation reference, eliminating the need for separate rotation pulse signal conditioning
2Measurement precision
If preprocessing with signal conditioners is used to obtain rotation pulse signals, then synchronized vibration waveform can be obtained, but the ease of operation deteriorates
Solution Approach 1:
The vibration signal itself serves as the reference signal for synchronization. The phase detector and frequency detector use the vibration signal directly to extract phase and frequency information, which then serves as the reference for synchronization, eliminating the need for external rotation pulse signals and complex preprocessing operations
3Measurement precision
If rotation pulse signals and preprocessing filters are used, then vibration waveform component can be extracted, but the productivity decreases due to cumbersome process
Solution Approach 1:
The invention segments the signal processing into independent functional blocks: phase detection, frequency detection, spectrum generation, and waveform synthesis. Each block processes specific aspects of the signal independently, allowing parallel processing and eliminating the sequential dependencies of traditional preprocessing methods
Solution Approach 2:
The phase and frequency information is extracted preliminarily from the vibration signal before spectrum analysis. This preliminary extraction of reference information enables direct waveform synthesis without requiring subsequent preprocessing steps like PLL locking or filter tuning
Data Source
AI summary
A signal processing method includes a time waveform acquisition step of acquiring, from an i-th sensor, an i-th time waveform related to an i-th physical quantity generated by an external force, a velocity, or a displacement having at least a periodic variation acting on an object for each integer i of 1 or more and N or less with N being a predetermined integer of 1 or more, a frequency spectrum generation step of generating an i-th frequency spectrum for each integer i based on the i-th time waveform, and a first state index calculation step of calculating, for each integer i, a difference between a phase of a first signal component corresponding to a first peak included in a first frequency spectrum and a phase of a second signal component that corresponds to a second peak included in the i-th frequency spectrum and has a frequency that is a rational multiple of a frequency of the first signal component as an index indicating a state of the object.