Engineers and Consultants
Engineers and Consultants
Mesa is excited to announce that we have officially joined the EPRI Open Power AI Consortium, a collaborative initiative focused on advancing safe, effective, and industry-ready AI tools for the electric power sector. By joining the consortium, Mesa will work alongside utilities, researchers, and technology leaders to help develop and test AI models that support […]
Mesa Joins the EPRI Open Power AI Consortium Read More »
In November 2023, an Alert was raised by the Anomaly Detection Engine (ADE) on the Air Cooler Output RTD Average (calculated) tag. The second contributing factor was the Cooling Water Output RTD tag, the third was Ambient Temperature, the fourth was Turbine Guide Bearing Temperature, and finally, the vibration on the Guide Bearing. When cooling
Air Cooler Anomaly & Contributing Factors Read More »
The Health Score (HS) for one hydropower generator was deteriorating over time. In April 2023, the HS reached a low of 88%. After a maintenance event correction, the HS was back up to the historically normal level of 95%. In addition to the vibration trends returning to normal levels, the Health Score also returned to
Proof of Correction in the Health Score Change! Read More »
In the previous posts, we saw the vibration increase that was associated with anomaly generation. We also saw the Alerts List with their Contributing Factors. This post reveals the scatterplots associated with the contributing factors, where the training data on the CF are shown in green, and the deviations are shown in red. Clearly, there
Deviations are the Key to Understanding Anomalies Read More »
Vibration data from the Alert generated on March 4, 2023, shows the initiation of the defect, shown in the green box below. The vibration anomaly increased the amplitude on one of the vibration probes. For this machine, amplitudes below 6 Mils (0.006 inches displacement, peak-to-peak) are considered good. The Acceptable amplitude region is from 6
Vibration Data Directly Correlates to Generator Health Score Reduction Read More »
The Anomaly Detection Engine (ADE) feeds its results to the Apparent Cause Engine (ACE), and based on factors that may include a Failure Modes and Effects Analysis (FMEA), Action Recommendations are generated. Limiting the ACE with FMEA increases the probability of an accurate diagnosis by the ACE. Remember, these are specifically built, intentional outputs for
Anomaly Detection Engine (ADE) Alerts and Recommendations Read More »
RTDs provide temperature measurements and in the case for the image below, the air cooling (Out and In) are the two largest contributing factors impacting the Anomaly Score. The MVAR and TopOilTemp tags are the lowest of the top five relative contributors to the Anomaly Score. Alerts and Recommendations may be generated by clicking on
Generator Analytics Lead to Anomaly Score Highest Contributing Factors Read More »
In the fast-paced world of communication engineering, effective project management is crucial. Project Manager Rabia Sattar’s latest white paper dives deep into the Engineering Process Improvement (EPI) Dashboard tool. This innovative tool is changing the way resources are managed at the client level. By streamlining communication and enhancing project oversight, the EPI Dashboard offers a
Mesa EPI Dashboard is Changing the Game for Client-Level Project Management Read More »
OCP gives us a place to capture issues, risks, and opportunities, but let’s be honest: A tool is only as good as the people who use it. The whole point is to use OCP to avoid these types of challenges, which in the long run drive more frustration among managers and teams. Without full participation,
Opportunity Capture Process (OCP) Only Works If We All Use It Read More »
Health Score Impact Factors (anomalies) can appear at the facility, unit, hierarchy group, input, and custom Asset Management levels (in this case, Mesa designed a custom anomaly detection called ‘startup type’). For example, at the unit level, both the turbine and generator have reduced health scores (51%) in the image. Anomalies at the various hierarchical
Health Score Impact Factors Read More »