Asset Condition MonitoringCondition-based MaintenanceIdentify and resolve Operations & Maintenance (O&M) problems faster—with more accuracy using APM Health, a condition monitoring software.Launch Interactive Demo Condition-based Maintenance Overview Unify, Standardize and Measure Condition-Based Maintenance Programs APM Health, a condition monitoring software part of GE Vernova’s Asset Performance Management (APM) suite, helps users to digitize condition-based maintenance programs. APM Health manages asset health data across a variety of assets and systems, creating a comprehensive and validated data repository. Whether you are at your desk or in the field, APM Health gives you the confidence of knowing you are eliminating risk and operating at high efficiency. With APM Health you can: View in near real-time the asset health and condition status of critical equipmentIncrease visibility into asset performance and early warnings of potential failuresMonitor and validate operator rounds at scaleGenerate work recommendations with EAM integrationRapidily deploy asset health management best practices with Workflows & Processes Accelerators Download Brochure APM Health - Condition Monitoring Software Outcomes Unified and contextual view of asset performance – bringing data from operational technology (OT) and information technology (IT) systems, alarms, and events Detect and diagnose asset related issues to help prevent unplanned downtime and maintain asset utilization Increased asset condition visibility through user-specific dashboards provides operational insights to drive business outcomes, including condition-based maintenance Higher workforce productivity and reduction in EH&S incidents using Operator Rounds Improve safety instrumentation availability with transparent calibration schedules Greater ease in prioritization and planning of work orders Blog: Condition Monitoring - A Comprehensive Guide Customer StoryLearn how TASNEE utilizes APM Health to monitor the condition of critical assets and identify anomalies.Read More View All Customer Stories 2024 Verdantix Asset Performance Management Green Quadrant ReportGE Vernova’s APM Health application achieved a perfect score (3.0/3.0) in the latest report.Access the full report Key Features of APM Health - Condition Monitoring Software Health Manager: Near-real time visibility on your desktop of asset health condition derived from field data collected. Rounds Pro: A desktop and mobile feature that allows users to use low-code design to create, scale and measure operator routes—including image collection in online or offline mode. Health Indicators: Near real-time descriptive analytics that use collected field data to create alerts for monitored assets based on defined performance definitions. eLogs: A digital ledger where route data is stored to enable users to look at historical trends and compliance. Calibration Management: A feature to help validate the accuracy of your measurement tools. Policy Designer: An Essentials/Foundation functionality that allows for easy creation of rules/policies to trigger alerts. Rounds Pro Datasheet Accelerators: Workflows for APM HealthAPM Health enables energy organizations to perform advanced condition-based maintenance, conduct operatore routes via mobile applications, and monitor the health index of assets based on the compliant collection of critical data. As assets continue to age, get retrofitted or even replaced with new asset types, it is more important than ever to ensure those assets are being monitored properly.To assist with this, GE Vernova’s Accelerators offer Equipment Health Workflows (EHW), System Health Workflows (SHW) and Asset Health Maintenance Assessment (AHMA) as part of our software offering. With these workflows, users can select an asset template, import required data, configure the workflow to match nuances of the operation, and scale the workflow to like assets. This allows organizations to deploy proven asset monitoring methodologies, while helping to get more control of its data. Equipment and System Asset Health Monitoring: Delivers a step-by-step process to configure a Health Score for any type of asset. The Asset Health Score, updated automatically every night, is calculated by evaluating multiple inputs including Rounds, Timeseries, Predictive Diagnostic Alerts, Recommendations, Preventive Maintenance and Corrective Maintenance. Daily O&M: Helps plant and maintenance managers in their daily meeting by providing detailed information about asset health and maintenance status. Learn more about Accelerators View All Resources Resources Blogs Videos FAQs FAQs What is asset condition monitoring? Asset condition monitoring is the continuous process of assessing the condition and performance of physical assets to ensure they are operating efficiently and reliably. This practice involves collecting and analyzing data from various sources, such as sensors, meters, and other monitoring devices, to detect signs of wear, degradation, or failure in near real-time. For instance, the monitoring of parameters such as pressure, temperature, and vibration will help operators in industrial environments assess the health of fixed and rotating assets in the facility. Condition monitoring also expands into the ability to ingest images via fixed or mobile cameras (robotics, drones) and analyze that data with advanced technology such as computer vision. This asset condition monitoring enables organizations to develop a health index for their assets based on maintenance requirements and parameters. What Is Condition-Based Maintenance (CBM)? Condition-based maintenance allows for maintenance activities to be performed based on equipment condition, leading to more efficient use of resources. It is a foundational element of the asset maintenance journey, providing a single-pane-of-glass view for users to make the best maintenance decisions based on risk, cost, and availability. Using asset health indicators, defined as high and low criteria for warning and alarm conditions, operators can assess risk and identify any emerging issues. Additionally, asset health indicators can be managed centrally so that users can prioritize alerts and respond proactively to avoid disruptive unplanned maintenance. What are the benefits of condition-based maintenance? The benefits of condition-based maintenance include:- Increase visibility into asset performance and early warnings of potential failures- Detect asset related health issues to help prevent unplanned downtime- Prioritize maintenance actions based on asset condition and critical alerts- Streamline field work activities with traceability and compliance- Optimize routes and schedules based on asset condition- Improve workforce productivity and safety- Send recommendations directly to EAM systems for seamless work order execution How does asset condition monitoring work? Asset condition monitoring includes several steps such as data collection, analysis, alerts and notifications, and advanced dashboarding. As a starting point users can collate data from several sources such as sensors, equipment, OT/IT systems, timeseries, historians, rounds, alerts, etc. to a centralized platform. Asset health indicators can be developed and analyzed to prioritize what needs to be done in order to increase asset availability and reliability. If there are potential issues, alerts and notifications can be sent to field personnel to take required action. And finally, to ensure a closed-loop process, dashboards can help users track and change key performance metrics to make the best maintenance decisions. What is the difference between Condition-Based maintenance (CBM) and Time-Based Maintenance (TBM)? In contrast to condition-based maintenance (CBM), during which maintenance activities are driven based on asset condition, time-based maintenance (TBM) involves periodic maintenance at scheduled intervals, regardless of the equipment's actual condition. When compared to reactive maintenance, time-based inspections and schedules provide operators with an added level of predictability and can help reduce unexpected failures significantly. However, they don’t necessarily reduce operational costs completely –– parts replaced as an outcome of time-based strategies could still have useful life remaining. What is the difference between preventive and condition-based maintenance? Building upon condition-based maintenance strategies to monitor equipment health in near real-time, predictive maintenance is an approach that allows operators to utilize historical data and machine learning algorithms to forecast potential failures before they occur. This proactive strategy enables maintenance teams to address issues weeks or months prior to breakdown and subsequently extend equipment life. Predictive maintenance is typically applied for high-value critical assets that have adversely impact production and operating costs. What are the different types of condition monitoring? There are several different types of condition monitoring, including:• Temperature: Tracking temperature ranges that could result in equipment degradation• Pressure: Ensuring gases and fluids are maintained at specific pressure levels to avoid damage and losses• Vibration: Monitoring vibration signatures to maintain alignment and stable operations• Oil and Lubricant: Checking the effectiveness of oil, fuel, or coolant that are used in industrial equipment• Ultrasonic: Utilizing ultrasonic sound waves to identify asset anomalies in subsurface locations• Electrical: Monitoring power consumption to gauge and validate operation conditions• Remote/ Mobile: Using fixed and/or rotating cameras to monitor and measure emerging asset health concerns How can condition monitoring improve equipment reliability? Condition monitoring allows improves equipment reliability as it allows users to transform massive amounts of data into tangible maintenance knowledge. By tracking, monitoring, and analyzing the status and performance of physical assets in near real-time, users can prevent unexpected breakdowns, optimize maintenance activities, and extend the lifespan of assets. Furthermore, by combining condition-based strategies with time-based strategies, preventative strategies, and OEM recommendations, users can make quicker decisions and direct maintenance resources more efficiently. This lays the foundation for enhanced equipment reliability and operational excellence across the enterprise. What is asset health monitoring? Asset health monitoring is the continuous process of assessing the condition and performance of physical assets to ensure they are operating efficiently and reliably. Asset health monitoring involves collecting and analyzing data from various sources, such as sensors, meters, and other monitoring devices, to detect signs of wear, degradation, or failure in real-time. The goal of asset health monitoring is to prevent unexpected breakdowns, optimize maintenance activities, and extend the lifespan of assets. This includes data collection, condition monitoring, data analysis, alerts and notifications and advanced dashboarding. How do you measure asset health? Asset health can be measured through condition monitoring, performance monitoring, predictive diagnostics, risk assessments including Failure Mode and Effects Analysis (FMEA), and other key areas. Any data coming from an asset or sensor can be used to measure asset health based on defined parameters. Customer Stories Customer Stories Contact us todayLet our experts show you how GE Vernova’s Software business can accelerate your operational excellence program and energy transition. Thank you for getting in touch! We’ve received your message, One of our colleagues will get back to you soon. Have a great day!