^ Control valves are used throughout the process industry.
Article by Aaron Shelly – Senior Data Scientist & David Siegel – CTO, Predictronics & Mohamed Abuali – Managing Partner, IoTco
Predicting valve failures can help during a planned shut-down to prioritize maintenance on specific valves, out of hundreds in service, that may potentially present a problem and cause operation inefficiency in the near term. This would, ultimately, reduce wasted time, labor costs, and resources. Obtaining this type of actionable valve health information requires a reliable predictive monitoring system with the application of Artificial Intelligence (AI), that estimates the health condition of each valve and determines the early signs of degradation to diagnosis the problem.
This article highlights the use of the Predictronics (PDX) software to demonstrate this predictive monitoring capability for valves. PDX is a unique end-to-end predictive analytics and industrial AI software solution that collects, analyzes, monitors, and visualizes data to identify potential failures and allow for maintenance to be performed in a proactive manner.
Results of this case study at a large valve OEM company have shown great promise to deliver strong business value. An example of the solution is shown in Figure 1. As established before, a green color demonstrates a normal and healthy range, a yellow color, means the condition has degraded into a warning stage, and a red color, alerts to imminent failure, requiring immediate action. In this example, the value health was initially normal (green), but over time it begins to erode, and approaches the yellow threshold condition. The health index model is calculated from multiple features extracted from the pressure, position, and other signals. In this example, the main contributing feature is related to a position-related issue, and this variable has a contribution of 44%. This guides the operator to inspect the position related features and confirm the results of the health monitoring algorithms. The valve health monitoring approach was also able to pick up actuator, leak, friction, and other observed degradations and faults. Validation of these analysis methods with more field data is part of the planned future work.
The use of additional sensing, such as vibration and acoustic emission, to complement the valve position and pressure analysis is also possible for this smart valve application.
It is envisioned that the smart valve initiative can lead to better customer satisfaction and future service revenue for the OEM. A smart valve will ultimately lead to lower maintenance cost, less downtime, and improved operations for the end-user/ process plant.
For process plants and other valve endusers, this is an exciting time.