Vibration Analyzer Frequency Spectrum Extraction
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Solution Overview
Problem
Existing machine component diagnosis systems face high data transmission times and increased power consumption due to the transmission of raw acceleration and temperature data from information terminals to servers for processing.
Innovation Solution
A vibration analyzer that extracts and transmits only the spectrum data of machine component vibrations, using a filter processing unit to isolate specific frequency bands and a calculation processing unit to analyze and generate spectrum data, reducing the data amount transmitted and enabling faster data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If raw acceleration data and temperature data are transmitted from the information terminal to the server for processing, then the machine component diagnosis can be performed, but the data transmission time increases and power consumption increases
Solution Approach 1:
The vibration analyzer performs preliminary processing of vibration signals by extracting frequency spectrum data before transmission. This preliminary action converts raw time-domain vibration signals into compressed frequency-domain spectrum data, reducing the data amount to be transmitted while preserving the essential diagnostic information needed for accurate machine component diagnosis
Solution Approach 2:
The system extracts only the necessary frequency spectrum characteristics from the complete vibration signal data. By taking out and transmitting only the relevant spectral features rather than the entire raw dataset, the system maintains diagnosis accuracy while significantly reducing transmission time and data volume
2Measurement precision
If raw acceleration data and temperature data are transmitted from the information terminal to the server for processing, then the machine component diagnosis can be performed, but the power consumption of the information terminal increases
Solution Approach 1:
The vibration analyzer performs preliminary processing of vibration signals by extracting frequency spectrum data before transmission. This preliminary action converts raw time-domain vibration signals into compressed frequency-domain spectrum data, reducing the data amount to be transmitted while preserving the essential diagnostic information needed for accurate machine component diagnosis
Solution Approach 2:
The system extracts only the necessary frequency spectrum characteristics from the complete vibration signal data. By taking out and transmitting only the relevant spectral features rather than the entire raw dataset, the system maintains diagnosis accuracy while significantly reducing transmission time and data volume
3Loss of time
If spectrum data is transmitted instead of raw vibration data, then the data transmission time is reduced, but the data processing complexity increases at the vibration analyzer
Solution Approach 1:
The vibration analyzer acts as an intermediary device that performs frequency spectrum analysis on vibration signals before transmission. This intermediary processing converts complex raw vibration data into simplified spectrum data, shifting the processing complexity to the analyzer while enabling faster and more efficient data transmission to the information terminal
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 significantly reduces data transfer time and power consumption while allowing for efficient machine component diagnosis by comparing frequency components in the spectrum data with damaging frequencies to diagnose abnormalities.
Implementation Method 1
a vibration sensor configured to detect the vibration of the machine component
Implementation Method 2
a filter processing unit configured to extract the predetermined frequency band from the waveform of the vibration signal
Data Source
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AI summary
A vibration analyzer is configured to analyze vibration of a machine component and which is capable of performing an operation on a basis of a signal received from an information terminal and transmitting a signal obtained as a result of the operation to the information terminal. The vibration analyzer includes a vibration sensor configured to detect a vibration of the machine component, a filter processing unit configured to extract a predetermined frequency band from a waveform of a signal detected by the vibration sensor, and a calculation processing unit configured to analyze frequency of a waveform after filter processing obtained by the filter processing unit and to obtain spectrum data. Accordingly, it is possible to reduce a data amount to be transmitted between the analyzer and the information terminal, thereby shortening data transfer time.