Valve Health Monitoring Using Baseline Deviation Alerts
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Solution Overview
Problem
Process control systems face challenges in predicting and preventing failures of field devices, such as valves, due to unpredictable failure timing and harsh operating conditions, leading to potential downtime and hazardous conditions.
Innovation Solution
A valve health monitor apparatus that collects and processes health information from sensing devices, including actuator controllers and position sensors, to identify key indicators of valve health, compares operational health data to baseline data, and generates alerts for potential failures, enabling proactive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If field devices are deployed in harsh environments to perform peripheral tasks like prognostic health monitoring, then the functionality and intelligence of the process control system is improved, but the reliability of the field devices deteriorates due to accelerated failure from extreme vibration, high pressure, and wide temperature ranges
Solution Approach 1:
The system performs preliminary health monitoring and collects baseline data during normal operation to establish expected performance parameters. This preliminary action enables the system to detect deviations before they lead to failure, allowing proactive maintenance scheduling that prevents catastrophic failures in harsh environments.
Solution Approach 2:
The system continuously monitors health parameters of field devices and provides feedback to the process control system. This feedback loop enables real-time detection of degradation trends, allowing the system to adjust operations or schedule maintenance before reliability deteriorates to failure levels, thus maintaining both functionality and reliability.
2Loss of time
If field devices are monitored using peripheral algorithmic routines to predict potential failures, then the downtime for maintenance is reduced, but the complexity of the process control system increases
Solution Approach 1:
The process control system is designed to perform multiple functions: core process control, data acquisition, and prognostic health monitoring. By making the control system universal and multi-functional, the patent eliminates the need for separate dedicated monitoring hardware, thus reducing overall system complexity while still achieving predictive maintenance capabilities that minimize downtime.
Solution Approach 2:
The system uses its own existing computational resources and data acquisition capabilities to perform health monitoring without requiring external specialized equipment. This self-service approach leverages the already-present processing power and sensors to dual-purpose: control and monitor, thereby avoiding additional complexity while enabling predictive maintenance.
3Measurement precision
If field devices provide electronic feedback to controllers, then the control precision is improved, but the risk of hazardous conditions increases when devices fail during operation
Solution Approach 1:
The system performs preliminary analysis of feedback data to detect early signs of device degradation or malfunction. By identifying potential failures before they occur, the system can take preliminary protective actions such as adjusting operating parameters or isolating at-risk devices, thus maintaining control precision while preventing hazardous failure conditions.
Solution Approach 2:
The system converts the potentially harmful electronic feedback from failing devices into beneficial diagnostic information. By analyzing feedback patterns for anomalies, the system transforms what would be erroneous or dangerous signals into useful early warning indicators, enabling preventive maintenance that eliminates the hazardous aspect while preserving the monitoring benefit.
Data Source
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AI summary
Methods and apparatus to monitor health information of a valve (108) are disclosed. An example apparatus includes a parameter calculator to calculate an operational value for a health parameter of a valve, a difference calculator to calculate a difference between the operational value for the health parameter and a baseline value for the health parameter, and an alert generator to generate an alert to identify a condition of the valve based on the difference.