Valve Performance Detection Systems for Root Cause Analysis
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Solution Overview
Problem
Current valve diagnostic systems lack the ability to provide actionable, dynamic information on the root cause of performance issues, requiring manual analysis that is time-consuming, prone to errors, and often obsolete by the time conclusions are reached, leading to delayed repairs and potential safety issues.
Innovation Solution
The development of processes and systems that provide diagnostic information on the cause of failed or failing device performance, including sensor performance, with step-by-step guidance on debugging and correcting issues, utilizing dynamic data optimization and high-accuracy sensors to identify and prioritize corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of valve data is performed, then diagnostic accuracy can be achieved with expert knowledge, but the process is time-consuming and the conclusions become obsolete before action can be taken
Solution Approach 1:
The system enables self-service diagnostic analysis where the valve control system automatically analyzes its own operational data, generates diagnostic reports, and identifies issues without requiring manual intervention from experts. The system performs self-diagnosis by processing its own logs, performance metrics, and operational history to generate actionable insights.
Solution Approach 2:
The patent replaces manual mechanical analysis with automated digital processing. Instead of human experts manually reviewing data, the system uses computer-based algorithms to automatically analyze valve performance data, generate diagnostics, and provide recommendations, substituting the manual analytical process with automated computational methods.
2Ease of operation
If simple alarms are output without root cause identification, then the system remains simple to operate, but the user cannot take appropriate corrective action without extensive manual analysis
Solution Approach 1:
The system implements comprehensive feedback by not only displaying the alarm condition but also automatically analyzing the root causes, providing diagnostic reports with recommended corrective actions, and updating the user on the status of repairs. This multi-layer feedback loop transforms simple alarms into actionable intelligence without complicating the user interface.
Solution Approach 2:
The system performs preliminary diagnostic actions automatically when an alarm occurs. Instead of waiting for the user to manually analyze data and determine the problem, the system proactively conducts its own analysis, identifies potential root causes, and prepares recommended corrective actions in advance, so that when the user needs to act, the information is already ready.
3Loss of information
If comprehensive valve diagnostics are implemented, then detailed breakdown by valve components is achieved, but the system complexity increases significantly
Solution Approach 1:
The diagnostic system segments the valve into distinct functional components (actuator, positioner, valve body, sealing elements, etc.) and analyzes each component separately. This segmentation allows comprehensive diagnostic coverage while maintaining organizational clarity, as each component's health can be independently assessed and reported without overwhelming complexity.
Solution Approach 2:
The system adds a new dimension to diagnostic reporting by organizing comprehensive component breakdown data into a hierarchical structure with clear categorization. Instead of presenting all diagnostic information as a single complex dataset, the system structures the information across multiple levels (system level, component level, element level) making the comprehensive data manageable and interpretable.
4Reliability
If offline valve diagnostics are performed by maintenance groups, then functional testing is achieved, but performance testing is limited and does not capture full operational nuances
Solution Approach 1:
The system enables continuous monitoring and diagnostic action rather than periodic offline testing. The valve control system continuously collects operational data, performs ongoing performance analysis, and maintains updated diagnostic reports, ensuring that performance characteristics are always current and accurate without requiring interruptions for comprehensive testing.
Data Source
AI summary
A method may include obtaining data associated with a control valve. The data may be obtained using one or more sensors associated with the control valve. The method may also include performing an analysis corresponding to the control valve using at least the data. The method may further include generating a report using the analysis, the report including information associated with the control valve.