Valve Lifetime Profiling Under Real Operating Conditions
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Solution Overview
Problem
Existing process control systems face challenges in accurately predicting the lifespan of valves due to varying operating conditions, as conventional methods fail to account for factors like temperature, pressure, fluid state, and impurities, leading to incomplete and non-informative Mean Time To Failure (MTTF) and Mean Time Between Failure (MTBF) data.
Innovation Solution
A method is developed to create a projected lifetime profile for valve components by receiving operating parameter data and using previously recorded performance data from reference components under compatible conditions, allowing for analysis of current operating conditions to determine a projected remaining lifetime and notify maintenance personnel for scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional methods use historical service and repair history data to create MTTF and MTBF, then data collection is simple, but the data are incomplete and not sufficiently informative due to incomplete maintenance records and customer privacy concerns
Solution Approach 1:
The patent introduces laboratory testing as an intermediary between theoretical specifications and actual field performance. By conducting controlled experiments that simulate real operating conditions, the system generates reliable performance data without requiring customers to share sensitive operational information, thus resolving the contradiction between data completeness and system complexity
Solution Approach 2:
The patent creates virtual copies of field operating conditions through laboratory simulations. By reproducing temperature, pressure, fluid properties, and contamination levels in a controlled environment, the system generates MTTF and MTBF data that reflect actual performance without needing real customer data, eliminating privacy concerns while maintaining data completeness
2Measurement precision
If specification sheets provide projected data based on customer-provided design conditions, then data provision is straightforward, but the predictions are inaccurate because actual operating conditions vary dramatically from design conditions
Solution Approach 1:
The patent transitions from static specification sheets to dynamic condition-based profiling. By continuously monitoring operating parameters such as temperature, pressure, fluid velocity, and contamination levels, the system adapts lifespan predictions to actual real-time conditions, significantly improving accuracy while implementing a comprehensive monitoring infrastructure
Solution Approach 2:
The patent changes the approach from fixed design conditions to variable operating parameters. By measuring and analyzing actual parameters like fluid temperature, pressure fluctuations, velocity profiles, and contamination concentrations, the system dynamically adjusts predictions to match real-world variability, enhancing precision through parameter-based analysis
3Reliability
If laboratory testing is used to simulate real life conditions, then MTTF and MTBF data become more accurate, but testing becomes more complex and resource-intensive due to difficulty in simulating fluid properties and contaminations
Solution Approach 1:
The patent segments the testing approach into modular components: temperature control systems, pressure regulation units, fluid circulation loops, and contamination injection mechanisms. By dividing the complex simulation into independent modules, each can be optimized and controlled separately, reducing overall system complexity while maintaining testing reliability
Solution Approach 2:
The patent designs the laboratory testing system with universal components that can simulate multiple operating conditions. A single test rig can reproduce various fluid properties (oxidizing, non-oxidizing, wet, dry, lubricating, non-lubricating) and different contamination types by changing test media and additives, eliminating the need for separate specialized equipment for each condition
Data Source
AI summary
The claimed method and system develops a useful lifetime profile for a component of a process control device, such as a valve, and uses that lifetime profile to determine a projected remaining lifetime for the device component in operation. The lifetime profile is developed from using real world operational data of similar process control devices, used under substantially the same operating conditions as to be experienced during operation. Profiles may be developed for numerous device components, from which a projected lifetime profile for the entire process control device is developed. Based on the projected remaining lifetime, notification warnings may be sent to remote computers and maintenance scheduling may be automatically achieved.