Rotary Component Envelope Spectrum Extraction Under Variable Speed
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Solution Overview
Problem
Conventional abnormality monitoring devices face challenges in accurately determining abnormalities in rotary components due to the significant influence of noise in vibration waves.
Innovation Solution
A data extraction device that performs envelope processing on vibration waves, calculates an envelope spectrum, and extracts data for abnormality determination by identifying a specific frequency range related to the real rotational frequency of the rotary component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional spectrum analysis of vibration waves is used for abnormality determination, then the monitoring process is simple, but the accuracy is low due to large noise influence
Solution Approach 1:
The patent segments the vibration signal processing into multiple stages: envelope processing to extract modulation information, spectrum calculation to identify frequency components, and selective data extraction focusing only on frequencies related to the rotary component's rotational frequency. This segmentation isolates the useful abnormality information from the noisy background, thereby improving determination accuracy while filtering out harmful noise.
Solution Approach 2:
The patent introduces envelope processing as an intermediary step between raw vibration wave acquisition and spectrum analysis. This intermediary process extracts the envelope of the vibration signal, which contains the modulation information related to bearing or rotary component abnormalities, while suppressing the high-frequency noise present in the original vibration signal.
2Measurement precision
If the full envelope spectrum is analyzed, then comprehensive frequency information is obtained, but noise interference increases and processing complexity rises
Solution Approach 1:
The patent extracts only the specific frequency components from the envelope spectrum that are related to the rotary component's rotational frequency and its harmonics. By taking out only these relevant frequencies and discarding the rest, the system maintains comprehensive information about potential abnormalities while eliminating noise interference from unrelated frequency components.
Solution Approach 2:
The patent applies local quality by focusing analysis resources on specific frequency regions of interest rather than uniformly processing the entire spectrum. The data extraction unit selectively processes only those frequency bands that contain information about rotary component health, assigning different processing intensities to different frequency regions based on their diagnostic value.
3Ease of operation
If fixed frequency range analysis is used, then processing is simplified, but adaptability to changing rotational frequencies is poor
Solution Approach 1:
The patent implements dynamic frequency tracking by continuously monitoring the rotational frequency of the rotary component and adjusting the frequency range of interest accordingly. The data extraction unit dynamically adapts which frequency components to analyze based on the current rotational speed, maintaining processing simplicity through automated frequency identification while achieving high adaptability to changing operating conditions.
Solution Approach 2:
The patent changes the analysis parameters (frequency range, center frequency) based on the measured rotational frequency of the rotary component. By making the frequency analysis parameters variable rather than fixed, the system maintains simple processing procedures while adapting to different rotational speeds and operating conditions, ensuring accurate abnormality detection across varying工况.
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
This approach enhances the accuracy of abnormality determination by reducing noise interference and allows for effective monitoring of rotary component abnormalities even when the rotational frequency changes.
Implementation Method 1
an envelope processing unit configured to perform envelope processing on a vibration wave during rotation of the rotary component to obtain an envelope-processed wave
Implementation Method 2
a spectrum calculation unit configured to calculate an envelope spectrum that is a spectrum of the envelope-processed wave
Data Source
AI summary
A data extraction device that extracts data for abnormality determination of a rotary component of a monitored machine includes: an envelope processing unit configured to perform envelope processing on a vibration wave to obtain an envelope-processed wave; a spectrum calculation unit configured to calculate an envelope spectrum of the envelope-processed wave; a basic data storage unit configured to store ratio data between a frequency of a specific wave included in the envelope-processed wave while rotating with a predetermined reference rotational frequency, and the reference rotational frequency; a frequency calculation unit configured to calculate a real specific frequency of the specific wave while rotating with a real rotational frequency based on the real rotational frequency and the ratio data; and a data extraction unit configured to extract the envelope spectrum in a limited frequency range including the real specific frequency from the envelope spectrum while rotating with the real rotational frequency.