Valve Actuator Fault Estimation Using Angular Velocity Data
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Solution Overview
Problem
Valves and actuators in outdoor installations often malfunction due to temperature drops, rainwater, or moisture, necessitating a system to estimate abnormality degrees based on angular velocity data for effective state identification and failure prediction.
Innovation Solution
An information processing system that acquires angular velocity data from a rotating shaft using an angular velocity sensor and estimates the degree of abnormality of both the valve and actuator by analyzing the transition in this data, including a transmission system to control the data transmission to external devices based on specific time periods or detection counts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If angular velocity data is continuously transmitted to external devices, then the external device can perform real-time abnormality estimation, but the communication load and data transmission volume increase
Solution Approach 1:
The system transmits only a subset of angular velocity data rather than all data points. The transmission control unit selectively transmits data based on specific time periods or detection counts, reducing communication load while maintaining sufficient information for abnormality estimation at the external device
Solution Approach 2:
The angular velocity data is pre-processed and stored in the storage unit before transmission. By organizing and preparing the data in advance, the system can efficiently transmit only the necessary portions when needed, rather than continuously transmitting all raw data
2Measurement precision
If comprehensive monitoring of valve and actuator states is implemented, then failure prediction accuracy improves, but the system complexity and cost increase
Solution Approach 1:
The system extracts only the essential angular velocity data from the valve shaft for monitoring purposes. By focusing on this single critical parameter that reflects both valve and actuator conditions, the system achieves comprehensive monitoring without the complexity of multiple sensors
Solution Approach 2:
The angular velocity data serves multiple diagnostic functions simultaneously - it can indicate valve seat abnormalities, actuator performance issues, and overall system health. This single data source provides multi-functional monitoring capability, reducing system complexity while maintaining comprehensive surveillance
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
Enables precise estimation and prediction of abnormality and failure in valves and actuators, facilitating timely maintenance and reducing operational downtime.
Implementation Method 1
angular velocity data of a rotation of a rotating shaft, the angular velocity data being detected by an angular velocity sensor
Data Source
AI summary
Degrees of abnormality of a valve and an actuator that drives the valve are estimated. An information processing system (100) according to the present invention includes an acquisition unit (110) configured to acquire angular velocity data of a rotation of a rotating shaft, the angular velocity data being detected by an angular velocity sensor, and an estimation unit (120) configured to estimate a degree of abnormality of each of an actuator (2) and a valve (3) by referring to the angular velocity data acquired by the acquisition unit (110).