By James Thornton, March 10, 2026
Asset Management Software Online
Introduction: The Asset Maintenance Journey
The asset maintenance journey of an energy organization typically involves a transformation from reactive strategies to more proactive and prescriptive approaches. This change is driven by the criticality of equipment, advancements in digital technologies, and the relentless pursuit of operational excellence and profitability.
Traditionally, operators in the energy sector had relied heavily on reactive maintenance, addressing equipment failures only after they occurred. This outdated, mostly manual approach often resulted in unplanned downtime, escalating repair costs, and significant safety risks.
Over time, energy organizations recognized the ramifications of this reactive strategy and began transitioning towards time-based maintenance. This approach mandated periodic maintenance regardless of the equipment’s actual condition. While it did help in reducing unexpected failures, it sometimes led to unnecessary operational costs, arising from the replacement of components that still had useful life remaining. Additionally, such strategies posed challenges for sustainability initiatives, increasing waste and resource depletion. As awareness grew, operators turned to advancements in sensor technologies, leading to a gradual shift towards condition-based maintenance. By continuously monitoring parameters such as pressure, temperature, and vibration, organizations could assess the real-time health of their assets. This approach allowed for maintenance activities to be conducted based on equipment condition, resulting in better resource allocation and less downtime.
Building on condition-based methods, predictive maintenance surfaced as a more sophisticated strategy, particularly for high-value assets critical to production. This technique leverages historical data and machine learning algorithms to anticipate potential failures before they manifest. Consequently, maintenance teams can address issues weeks or even months in advance, effectively prolonging asset life.
Ultimately, the apex of this journey is prescriptive maintenance, which not only anticipates potential failures but also recommends specific preventive actions. By employing advanced analytics and artificial intelligence, prescriptive maintenance equips teams with actionable insights tailored specifically to individual assets.
As energy organizations with varying degrees of digital maturity confront mounting industry challenges—such as capacity constraints, workforce management, economic fluctuations, and regulatory demands—they must ask themselves: What is the ideal starting point for their asset maintenance journey?
What is an Asset Health Index?
An Asset Health Index (AHI) serves as a critical component in the decision-making arsenal of any organization. It provides a consolidated view that enables users to make informed maintenance decisions based on three key metrics: risk, cost, and availability—often referred to as the Asset Performance Management (APM) trifecta.
GE Vernova’s APM Health Application and Asset Health Index
APM Health, an integral part of a comprehensive APM software suite, empowers users to transform raw data into actionable maintenance intelligence. This includes data sourced from sensors, operational technology (OT) and information technology (IT) systems, time series, historians, alerts, and more. With the aim of fostering a holistic asset health maintenance assessment, APM Health provides critical key performance indicators (KPIs) that help energy organizations prioritize actions geared towards enhancing asset availability and reliability while effectively managing costs.
A key feature of the assessment is the asset health index, a numerical value quantifying the overall condition of an asset. This metric allows users to focus attention on the lowest-performing assets, estimate remaining life, and craft a targeted maintenance strategy based on actual needs—whether at the site, fleet, or enterprise level.
The APM Health application boasts several modules that enhance the reliability of the asset health index, which includes:
- Asset Health Manager: This module facilitates condition-based maintenance by prioritizing maintenance activities through intuitive health indicators. It features a main dashboard that centralizes vital metrics, allowing users to define and manage asset conditions and prioritize actions based on critical alerts.
- Rounds Pro: Focusing on time-based maintenance, this functionality streamlines field work activities with traceability and compliance. It enlists a mobile application enabling operators to electronically monitor and log asset condition data. Additionally, it helps in optimizing rounds and schedules based on real-time asset condition.
- eLogs: This digital ledger facilitates the utilization of shift observations, encompassing condition-based data, routes, and maintenance data for identifying historical trends and compliance-related activities.
- Calibration Management: Integral to the maintenance process, this feature ensures data reliability and fidelity through tools that help manage and validate the accuracy of measurement systems within the facility, enhancing user confidence in decision-making.
How APM Health Works with Other Asset Performance Management Applications
While asset health is a foundational step in the maintenance journey, GE Vernova’s APM Health application integrates seamlessly with other tools in the overall APM suite to enhance customer experiences and minimize operational risks. For instance, through APM Connect, users can transmit maintenance recommendations directly to their Enterprise Asset Management (EAM) system for work order execution.
Additionally, APM Health synergizes with the APM Strategy application, which optimally devises asset strategies by examining criticality, risk, and cost. Users can gain insights into known equipment risks and evaluate the health indicators assigned for mitigation. Moreover, employing Policy Designer enables users to create and customize new health indicators according to specific requirements. For operators managing high-value assets, GE Vernova’s SmartSignal offering provides predictive capabilities to foresee failures before they happen, allowing a shift to a more predictive and prescriptive maintenance approach.
Conclusion: Experience APM Health Today
The energy sector has effectively entered the digital age, where a wealth of data is available to inform decision-making. In terms of maintenance optimization, contextualizing asset conditions enhances reliability, prolongs equipment longevity, improves service delivery, and mitigates operational risks. Every piece of asset data harbors untapped insights, and the APM Health application is a robust solution for initiating a comprehensive maintenance journey. The ability to consolidate data from various sources and generate a health score facilitates informed decisions on where to concentrate maintenance efforts for maximum impact.
As energy organizations look to expand their operations, they can also consider integrating condition-based maintenance with time-based strategies and Original Equipment Manufacturer (OEM) recommendations, or even adopting proactive maintenance strategies for their most vital assets using a holistic APM solution. You can explore more about asset management software online to help cement your strategies for success.
Disclaimer: This article discusses methodologies and techniques in asset management, which may be subject to individual organizational constraints and operational limitations. Always consult with a qualified expert for tailored advice specific to your industry and operational needs.