$500K+ in damage and downtime avoided by catching inlet filter obstruction

Author Sticky

Jacqueline Vinyard

Director, Product Marketing

GE Vernova’s Software Business

A professionally trained journalist, Jackie has a degree in journalism and has spent 15+ years’ experience as a researcher and launching innovative technology. She lives in Boulder, CO with her husband, three children and two dogs. Her latest passion is launching software at GE Vernova to accelerate the energy transition and to decarbonize the world.

Palash Verma

Senior Customer Reliability Engineer

GE Vernova’s Software Business

Palash Verma is a Senior Customer Reliability Engineer for GE Vernova with an education in Mechanical Engineering. Verma started his career with operations and maintenance training in a thermal power station. He has over 10+ years of experience in delivering various plant monitoring software projects. Prior to joining GE Vernova, he has worked with other companies offering software solution to power generation and energy industries as a solution consultant. As a member of the Industrial Managed Services team, he focuses on assisting APM customers in optimizing their investments. He utilizes predictive analytics technologies, including the SmartSignal application, to monitor and enhance the performance of over 500 industrial assets worldwide. By implementing predictive maintenance strategies, he helps clients save costs by reducing unplanned shutdowns and eliminating surprises, thereby enhancing asset reliability and operational efficiency. His emphasis on customer satisfaction ensures that clients extract maximum value from their APM solutions.

Jun 17, 2025 Last Updated
4 Minute Read

Anomaly Detected: Drop in fan discharge pressure, indicating reduction in critical cooling air supply.

Diagnose: Inlet filter of the fan was obstructed. Pressure transmitter wasn’t measuring or alarming correctly.

Prioritize: Immediate action was taken to replace filters.

Impact: Estimated savings of $543,120 in costs associated with potential turbine damage and production downtime.
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Predict: What did GE Vernova’s SmartSignal predictive analytics software?

At the metals and mining site of a major industrial company in Europe, a major equipment downtime risk was identified and mitigated with the help of SmartSignal, GE Vernova’s AI/ML predictive analytics software. Unexpected downtime on the customer’s 9HA.02 gas turbine was prevented by combining GE Vernova’s APM SmartSignal software with advanced monitoring services, together called M&D with SmartSignal. M&D with SmartSignal includes an assigned GE Vernova engineer to monitor the centerline equipment and may also include coverage of other critical balance of plant (BOP) equipment (ie: condensers, transformers, and cooling water systems).

The anomaly was detected by the software's digital twin, which revealed a progressive drop in the running exhaust frame fan discharge pressure. A reduction in the critical cooling air supply pressure from the fan can indicate underlying mechanical problems on the cooling and sealing air circuit that may require further investigation and intervention.

The M&D with SmartSignal assigned engineer assessed the urgency of the issue and reported the anomaly, along with recommendations on next steps to address the findings. The issue was subsequently followed up the regular weekly discussions with the customer.

Diagnose & Prioritize: What was the underlying cause and risk urgency?

Following the guidance of the GE Vernova M&D with SmartSignal engineer, the customer plant team conducted an investigation in the field. The investigation revealed that the inlet filter of the fan was obstructed. However, this issue was missed because the filter differential pressure transmitter was not measuring correctly and failed to alarm on the impaired condition of the filter. The M&D with SmartSignal discovery prompted immediate action, and the customer replaced the dirty filters.

To verify that the replacement resolved the pressure decline, the assigned M&D with SmartSignal engineer monitored the equipment. The replacement proved to be the correct solution, as the discharge pressure returned to the model-predicted value, effectively restoring the system's performance to its expected operational parameters. The customer subsequently attended to the inlet filter differential pressure transmitter to restore its function, so it correctly measures and alarms in case of excessive filter fouling.

Customer Impact

The turbine exhaust is subjected to high temperatures and must be cooled as soon as the rated speed of the turbine is reached, especially at high loads. This is necessary to prevent structural deformations of its structure as well as damage to critical instrumentation installed within the load tunnel.

The timely identification of the anomaly through M&D with SmartSignal, along with recommendations from GE Vernova’s Engineering team, helped the customer understand the risk and take prompt action to investigate. The issue was corrected without incurring any loss of production or damage.

As shown by GE Vernova's verification, the actual values returned to their expected levels. The intervention helped prevent potential turbine damage and production downtime. This is estimated to have avoided approximately $543,120 in associated costs.

*Avoided costs are based on North American average production loss.

Author Section

Authors

Jacqueline Vinyard

Director, Product Marketing
GE Vernova’s Software Business

A professionally trained journalist, Jackie has a degree in journalism and has spent 15+ years’ experience as a researcher and launching innovative technology. She lives in Boulder, CO with her husband, three children and two dogs. Her latest passion is launching software at GE Vernova to accelerate the energy transition and to decarbonize the world.

Palash Verma

Senior Customer Reliability Engineer
GE Vernova’s Software Business

Palash Verma is a Senior Customer Reliability Engineer for GE Vernova with an education in Mechanical Engineering. Verma started his career with operations and maintenance training in a thermal power station. He has over 10+ years of experience in delivering various plant monitoring software projects. Prior to joining GE Vernova, he has worked with other companies offering software solution to power generation and energy industries as a solution consultant. As a member of the Industrial Managed Services team, he focuses on assisting APM customers in optimizing their investments. He utilizes predictive analytics technologies, including the SmartSignal application, to monitor and enhance the performance of over 500 industrial assets worldwide. By implementing predictive maintenance strategies, he helps clients save costs by reducing unplanned shutdowns and eliminating surprises, thereby enhancing asset reliability and operational efficiency. His emphasis on customer satisfaction ensures that clients extract maximum value from their APM solutions.