Asset Health & Condition Monitoring
Standardize the collection, integration, modeling, and analysis of disparate data into a single, unified view.
Asset Performance Management (APM) Software
Accelerating your time to value using advanced data templates outlining digital techniques and product configurations
Download DatasheetAccelerators are best-in-class configuration templates for Asset Performance Management and other GE Digital solutions. They are pre-built data templates for equipment health monitoring, predictive analytics, asset maintenance strategies, and business process workflows.
Reduce the valuable time and resources it takes to build custom processes and configurations on equipment. With Accelerators, you can benefit from the proficiency of energy subject matter experts and best practices from GE Digital’s Engineers and technology partners.
The increasing complexity and scale of industrial facilities, along with the need for market flexibility, require applying asset performance practices to a much wider array of equipment, using more advanced digital technologies.
Accelerators help energy companies expand asset management processes without spending more time and resources building custom configurations and health monitoring techniques.
Expand reliability to more assets by consolidating and analyzing maintenance process across the plant and fleet. Accelerators set the foundation to prioritize the right maintenance activities to help users navigate work processes and gain financial value – at the facility and the enterprise.
Focus teams and resources on running the business instead of learning, configuring, and connecting the right data to drive equipment visualization and actions. GE Digital Accelerators help you scale configuration knowledge, risk recommendations, and mitigating actions to more teams across the enterprise.
Leverage GE’s extensive Digital Twin library, without needing to build from scratch. Predictive analytics powered by SmartSignal easily add monitoring and diagnostic work processes using sophisticated analytic techniques providing alerts when equipment is trending to a failure – enabling condition-based decision making.
Built on the foundation of APM Strategy, a key solution in GE Digital’s APM software suite, Asset Strategy Accelerators are pre-built maintenance policy data templates detailing defined risk and mitigating actions for an asset.
Equipment strategies target Power Generators, Oil & Gas producers, and Mining companies spanning a wide range of criticality. Balance of Plant (BoP) asset strategies include various supporting and auxiliary energy producing equipment ranging from rotating, mechanical, electrical, safety, and controls.
Pre-defined Asset Strategies define:
Health & Reliability Accelerators are designed to configure a holistic view of an asset’s overall health. Leveraging deep domain expertise and APM Health solution intelligence, Health & Reliability Accelerators mine through several data inputs in APM detecting critical issues and other concerns on the equipment. The policy engine consumes the data calculating an overall health score to identify and prioritize the assets needing the most attention.
The pre-built templates configure:
Supporting APM Reliability, Root Cause Analysis Accelerators (RCA) reduce process development time up to 50% using industry benchmark data to determine cause and how to solve it. RCA Accelerators provide templated configurations to facilitate standard RCA processes based on Preserve, Order, Analyze, Communicate, and Track (PROACT). Pre-built templates include over 300 analysis types including mechanical, electrical, and human.
Easily enable import failure modes to RCA logic trees by asset classes, create failure mode hypothesis, and configure a new analysis from a library of templates within the Accelerator Library.
Standardize the collection, integration, modeling, and analysis of disparate data into a single, unified view.
Develop asset strategies to optimize across availability, reliability, and costs.
Achieve less unplanned downtime by predicting equipment issues before they occur.