Asset Health


Reliable, actionable data is essential for good decision making. EKN Engineering's Asset Health program integrates and evaluates data from diverse sources, providing real-time visibility into asset performance. Clients can assess overall health, identify maintenance tasks, and close compliance gaps which enables proactive risk management, cost-savings, and operational efficiency for a stronger grid.

Holistic Assessment

Leveraging data from multiple sources and considering various factors, we conduct thorough assessments to provide a holistic view of asset health, enabling informed decision making for maintenance and repairs. Our Asset Health program structures and processes data and information from a variety of sources to provide an objective analysis and recommendation on the health of multiple assets.

Asset Lifespan and Durability Enhancement

Prolong the lifespan and durability of assets in the field, such as electrical transmission line towers and poles. We provide real-time results and visibility into asset performance through data collection, database integration, and analysis of asset health, keeping equipment and systems operating efficiently and safely.

Efficient Screening and Assessment

Streamline the screening and assessment process for field assets optimizing efficiency and effectiveness. By providing visibility into asset performance through data collection, database integration, and analysis of asset health, we ensure our utility clients are fully equipped to support the highest level of asset performance.

Informed Decision Making

Enhance decision-making capabilities with good data. With real-time insight into their asset's health conditions, our clients are better positioned to act quickly and effectively at the first sign of a health concern, resulting in direct risk mitigation and cost-savings benefits.


Effective risk management is vital for maintaining asset health. It involves identifying, assessing, and mitigating risks to ensure asset longevity and optimal performance. This ongoing process includes continuous monitoring, adjustments based on changing conditions, and clear communication with clients, minimizing costs and disruptions, and delivering significant value.


A comprehensive comparison of risk factors across the system identifies potential areas of concern, enabling a proactive approach to maintenance and replacement of assets. By identifying potential risks early, we can implement preventive measures before a failure occurs, thereby minimizing downtime and disruption.

Risk Mitigation

Identify potential risks to the public from electrical structures, enabling clients to implement preventive measures and take necessary precautions early. Our risk identification process is comprehensive and meticulous, giving our clients the confidence in their structure's safety.

Data Verification and Risk Analysis

Rigorous data verification ensures the accuracy and reliability of our analysis. This meticulous process is fundamental to our risk management approach within our Asset Health programs. Data integrity is crucial to effective decision-making, enables proactive risk mitigation, and leads to significant cost-saving benefits.

Predictive Analytics

Advanced analytics and machine learning predict asset failures, optimize performance, and reduce costs through proactive maintenance recommendations based on historical data analysis and pattern recognition - backed by decades of engineering experience.

Asset Optimization

By identifying trends and patterns in asset performance data, we can recommend targeted interventions to improve efficiency and extend the lifespan of assets. This data-driven approach allows us to tailor our recommendations to each asset.

Maximized Asset Return

By leveraging real-time insights and early identification of potential issues, we minimize losses and extend asset lifespan. This not only reduces maintenance and replacement costs but also ensures uninterrupted service, leading to improved revenue generation.

Asset Performance Benchmarking

Comparative analysis provides valuable insights into the relative performance of each asset, helping us identify areas for improvement and opportunities for optimization. By understanding how each asset performs in the context of the broader system and industry norms, we can develop targeted strategies to enhance overall system performance, efficiency, and reliability.