Vibration Sensor Self-Diagnosis via Data Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional vibration sensors require complex configurations and test signals for self-diagnosis, leading to high costs and burdens on maintenance personnel, especially when used in industrial equipment where reliability has not been confirmed.
Innovation Solution
A self-diagnosis method for vibration sensors that integrates measured vibration data and compares it with a reference value to diagnose abnormalities, eliminating the need for test signals and allowing the use of general-purpose sensors, thereby simplifying the configuration and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a test signal is applied to the sensor body for self-diagnosis, then the sensor can diagnose its own abnormality, but the configuration becomes complicated and cost increases
Solution Approach 1:
The vibration sensor performs self-diagnosis by utilizing its own functional output (vibration measurement) rather than requiring external test signals. The sensor measures vibration data from the equipment it is monitoring and uses this data to diagnose its own abnormality, eliminating the need for separate test signal generation and input circuits.
Solution Approach 2:
The vibration sensor serves multiple functions: it simultaneously performs vibration measurement for predictive maintenance and self-diagnosis. By using the same vibration data for both purposes, the sensor eliminates the need for dedicated test signal circuits, simplifying the overall configuration.
2Reliability
If a test signal is applied to the sensor body for self-diagnosis, then the sensor can diagnose its own abnormality, but the cost increases
Solution Approach 1:
The vibration sensor performs self-diagnosis by utilizing its own functional output (vibration measurement) rather than requiring external test signals. The sensor measures vibration data from the equipment it is monitoring and uses this data to diagnose its own abnormality, eliminating the need for separate test signal generation and input circuits.
Solution Approach 2:
The vibration sensor serves multiple functions: it simultaneously performs vibration measurement for predictive maintenance and self-diagnosis. By using the same vibration data for both purposes, the sensor eliminates the need for dedicated test signal circuits, simplifying the overall configuration.
3Measurement precision
If periodic monitoring is performed with a vibration measuring machine, then measurement can be conducted, but the burden on maintenance personnel increases
Solution Approach 1:
The vibration sensor performs self-diagnosis by utilizing its own functional output (vibration measurement) rather than requiring external test signals. The sensor measures vibration data from the equipment it is monitoring and uses this data to diagnose its own abnormality, eliminating the need for separate test signal generation and input circuits.
Solution Approach 2:
The system continuously monitors vibration data and provides feedback to diagnose sensor abnormality. The integrator accumulates vibration data over time, and the diagnoser compares the integrated value against reference values to detect abnormalities, enabling continuous self-assessment without human intervention.
4Ease of manufacture
If inexpensive sensors are used for continuous monitoring, then cost is reduced, but reliability cannot be confirmed for industrial equipment
Solution Approach 1:
The vibration sensor performs self-diagnosis by utilizing its own functional output (vibration measurement) rather than requiring external test signals. The sensor measures vibration data from the equipment it is monitoring and uses this data to diagnose its own abnormality, eliminating the need for separate test signal generation and input circuits.
Solution Approach 2:
The system continuously monitors vibration data and provides feedback to diagnose sensor abnormality. The integrator accumulates vibration data over time, and the diagnoser compares the integrated value against reference values to detect abnormalities, enabling continuous self-assessment without human intervention.
Data Source
AI summary
A self-diagnosis method for a vibration sensor attached to vibrating equipment includes measuring vibration data of the vibrating equipment by the vibration sensor, integrating the vibration data, and diagnosing whether or not the vibration sensor is abnormal by comparing an integrated value of the vibration data with a reference value.


