Control Valve Positioner Leak Detection Using Relay Position Data
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Solution Overview
Problem
Existing methods for detecting leaks in control valves, particularly at positioners, are inefficient and unreliable, often requiring operator intervention and relying on multiple variables, leading to disruptions and reduced accuracy in leak detection.
Innovation Solution
A system that uses relay position data from a positioner to identify leaks by analyzing time series data, calculating rolling means, and generating alerts based on threshold comparisons, enabling continuous and automated leak detection without user involvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operator-initiated tests are used to detect leaks, then leak detection can be performed, but operation of the control valve is disrupted and resources are consumed
Solution Approach 1:
The system performs preliminary leak detection by continuously monitoring relay beam position data during normal operation. The rolling mean calculation and threshold comparison are performed in real-time, allowing leak detection to occur before operator intervention is needed, thus avoiding disruptions to control valve operation.
Solution Approach 2:
The leak detection system serves itself by automatically analyzing relay position data that is already being collected for control purposes. No additional sensors or separate detection mechanisms are needed - the existing relay position data is repurposed for leak detection, eliminating the need for separate testing operations.
2Reliability
If multiple variables are used in sensor-based leakage detection tests, then detection can be performed, but reliability of the analysis is affected
Solution Approach 1:
The invention extracts and isolates the relay beam position data as the single critical variable for leak detection. By focusing only on changes in relay position that indicate pressure compensation behavior, the system eliminates the complexity of using multiple sensor variables while improving reliability through a focused analysis approach.
Solution Approach 2:
The system transforms the raw relay position data into a rolling mean parameter that smooths out anomalies and provides a more reliable indicator of actual leak conditions. This parameter transformation converts noisy individual readings into a stable metric that reliably indicates leakage states.
3Extent of automation
If sensor-based tests are used to identify leaks, then automated detection is possible, but user initiation is still required which reduces efficiency
Solution Approach 1:
The system is fully self-service in that it automatically collects relay position data, calculates rolling means, compares against thresholds, and generates alerts without any user initiation. The continuous monitoring and automatic alert generation eliminate the need for operators to suspect or initiate leak detection analyses.
Solution Approach 2:
The system implements continuous feedback by monitoring relay position data in real-time and automatically generating alerts when leakage states are detected. This closed-loop feedback mechanism ensures that leaks are detected and reported automatically without requiring user intervention at any stage of the process.
Data Source
AI summary
Apparatus, systems, and methods to identify pneumatic leaks are disclosed herein. An example apparatus includes interface circuitry, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to generate an array including mean relay position values for a relay beam of a positioner associated with a control valve, the array including a first mean relay position value of the mean relay position values, perform a comparison of the first mean relay position value to a threshold rule, and cause an alert indicative of a leakage state of the positioner to be output for presentation at a user device based on the comparison.