Achieve business outcomes that matter
Measure, manage, and operationalize your sustainability goals – including decarbonization, energy resources management, and reduced WAGES.
Achieve operations visibility and AI-based optimization, linking plant-floor actions to your enterprise sustainability initiatives.
A system of record to automate accurate GHG data collection, provide valuable insights, and identify ways to reduce carbon emissions
One modular solution to connect, see, control, and optimize DERs from a technical and an economic standpoint
Reduced operational costs and risks using Digital Twins, machine learning and predictive models
Increased network reliability
Advanced analytics to predict future asset and process performance for reduced variability and improved operations
Optimized asset performance to reduce risk and improve safety, reliability, compliance, and efficiency
Optimize assets and processes – from plant-level operations to the enterprise – with self-service process analytics software.
Minimized potential impact of anomalies
Comprehensive visibility of asset health for rapid situational adjustments with quality information
Streamlined mechanical integrity solution to reduce risk, maintain compliance and optimize resources
Develop, implement, maintain, and optimize asset strategies to effectively balance cost and risk
Operational visibility and analysis to reduce asset failures, control costs and increase availability
Performance Intelligence with APM Reliability is your partner in meeting your plant and fleet performance goals.
Predictive analytics software, helps prevent equipment downtime by detecting, diagnosing, forecasting & preventing emerging failures.
The AI-powered product automatically explores the space of operation of gas turbines, builds a machine learning model, and continuously finds the optimal flame temperatures and fuel splits to minimize emissions
BoilerOpt works within existing plant technology to improve boiler productivity and air-fuel ratios in a closed-loop system
Pre-built templates for equipment health monitoring, asset strategies, and process workflows
Operator rounds efficiency and operational impact
Secure and scalable data connectivity, analytics, and application services
End-to-end digital solutions reducing costs, empowering crews, and improving the passenger experience
Addressing fuel usage, carbon emissions, airspace efficiency, predictive maintenance, and more
Increased fuel efficiency and reduced waste
Early detection of aircraft and component degradation
Reduced costs related to disruptions
Visualizations and analytics to help airline decision makers identify waste in an airspace
Fuel efficiency reports, helping airlines operate at peak safety and efficiency while reducing their carbon footprint
Operational excellence and improved safety
Outcomes that move your business forward in fuel, safety, and predictive maintenance
Analysis of multiple flights, routes, and assets across years
Reduced environmental footprint
Services and solutions to reduce vulnerability and identify, detect, prevent and protect
Turnkey solutions to reduce vulnerability and identify, detect, prevent and protect assets and systems
A globally recognized benchmark for procurement of OT secure products.
Strengthened device security across the development lifecycle
Informed decision making with data and insights from across the enterprise
Native cloud service for a data historian.
Safe and secure management and orchestration of the distribution grid
Network-level optimization with high-performing distribution power applications
Overcome foreseeable load variations
Minimized disruption of service even in extreme weather conditions
Effective management and orchestration to unlock the power of renewables and DERs
AI/ML energy market recommendations to improve profit for renewables and thermal generation assets
Increased output and energy production at times of highest demand
A common network view to ensure electrical integrity, network validity and infrastructure management
Accurately model your asset network, support traceability, help assure data completeness, & support integrity management
End-to-end network connectivity modeling and data workflow management
Software designed to help grid operators orchestrate the grid
Increased efficiency and reduced costs
Secure-by-design connectivity and certification management, and faster operator response
Faster operator response and increased efficiency
Centralized visualization and configuration, digitized processes and intelligence
Full visualization and control seamlessly across devices, including phones, tablets and desktops
Best practices and proven deployment learnings
In-depth understanding of how GE Digital software can help your operations
Holistic performance management for today’s connected enterprise
Management of fast-moving processes as well as slower moving, labor-intensive jobs
Cost savings with improved manufacturing overall equipment effectiveness
Batch automation, regardless of the underlying equipment
Data analysis for quick identification of defects and better optimization of processes
Unified manufacturing data from disparate systems to better meet changing consumer demands
Procedures managed in an electronic format for consistency and predictability
Optimized production with better planning
Improved throughput with greater efficiency and lower costs
Materials to help you better understand GE Digital software and its robust functionality
Integrated solutions for improved efficiency and sustainability while supporting business growth
Energy management for the zero carbon grid
Reliable mobilization of network assets to ensure maximum transmission of energy from multiple sources
Integrated solutions suite for energy market management
Decentralized data collection, data volume handling, and remote management
Getting the most benefit out of digitization and industrial IoT
Services that deliver best-in-class results
Rapid digital transformation wins based on industry-proven value cases and ROI
Best practices for your industrial processes to help build and maintain operational resilience
GE Digital’s expert service and support teams create value and deliver on business objectives
Expert service and support teams to maximize the benefits from your IIoT software
Improved efficiencies, optimized production and quality and reduced unplanned downtime
Increased reliability and availability, minimized costs, and reduced operational risks
Increased value from your equipment, process data, and business models
Facilitate documentation between airlines and lessors
Reduced costs related to disruptions with real-time visibility
The cornerstone of your journey to operational excellence
Operational excellence including improved reliability, reduced costs and managed risk
GridOS, the first grid software portfolio designed for grid orchestration
Reduced operational costs and risks using predictive models
Enhanced overall situational awareness
Field-connected operations and management
One modular solution that enables grid operators to connect, see, control, and optimize DERs from a technical and an economic standpoint
Operational efficiency and reduction in build costs while meeting regulatory regulations
Reduced operational and new build costs and improved field inspection productivity
A holistic picture of the grid, reducing cost and complexity from traditional inspection approaches
Optimized operations to best meet changing consumer needs
Reduced variability and improved operations.
In-depth understanding of our software and its functionality
A clear a path to operational transformation
Maintain consistent quality and reduce cost per ton
Optimized costs and improved reliability while reducing risk to keep your teams and communities safe
Streamlined end-to-end operations driving high-volume, high-quality production
GE Digital software is the backbone of modern plant operations
Improved reliability, increased availability, and reduced O&M costs
AI/ML to make your gas turbine's fuel and air controls smarter
Increase energy production at times of highest demand without costly maintenance adders or adversely impacting the maintenance interval
Inclusive outsourcing services that deliver best-in-class results
Achieve digital transformation
Expert service teams to maximize the benefits from your IIoT software
Reduced costs, lower risk, and faster response times
Analytics to predict future asset and process performance for reduced variability & improved operations
A common network view to ensure integrity, network validity and infrastructure management
Mission critical software to better operate, optimize and analyze your work to deliver results
Locate the best partners to meet your needs
Digital transformation acceleration
Technical and domain expertise that complements GE Digital’s industry leading applications
Assistance to accelerate your digital transformation and put your industrial data to work
Deep domain knowledge and technical expertise
Product training, industry education, and rigorous certification programs
More efficient and secure electric grid, greater sustainability and waste reduction
Solutions for today, scale for tomorrow
Increased reliability and reduced reactive maintenance leading to higher efficiency and reduced costs
Using Digital Twin blueprints, GE's Industrial Managed Services team monitors 7,000+ global assets
Understanding of the latest thought leadership that can be applied to your operations
Understand how our software and services help our customers solve today's toughest challenges
Experienced team dedicated to customer success
Success stories and product updates from the world of Electrification Software
Analyst and third-party expert opinions of Electrification Software and our software and services
White papers, product overviews, and other content to help you put your industrial data to work
Experience in leading edge software development and business working with best-in-class leaders
Understand how Electrification software and services helps our customers solve today's toughest challenges
Blog
Industry professionals responsible for managing assets are faced with numerous challenges in designing cost-effective maintenance strategies for equipment. Intelligent approaches for identifying optimal processes and systems for managing assets ideally combine data-driven modeling of known degradation mechanisms with field expertise of asset performance and plant operations. The ability to construct such models of assets and systems requires understanding of many important features, including:
Predix Asset Performance Management (Predix APM) includes solution workflows which enable users to design and deploy different simulation models of maintenance management processes. Models based on input factors such as associated risks, operating scenarios, and system configuration can be used to simulate a range of business outcomes such as total expected cost of maintenance and system unavailability over a period of time. This is the digital twin approach, where asset data is leveraged to simulate asset performance in different usage scenarios under varying conditions, based on the known risks and usage information.
In this blog, I’ll discuss a solution workflow in APM Reliability, part of Predix APM, which allows the user to create simulations of various system designs by failure mode and risk. Models of different system scenarios enable the user to understand, predict, and optimize which asset strategy or design is the most reliable and cost-effective, and to evaluate how the system could be modified to increase reliability and production output.
Reliability, availability, and modeling (RAM) analysis is a methodology used to assess and predict performance over the life cycle of an asset for a given system design taking into consideration factors affecting production, operations, and maintenance. RAM models are very useful for asset managers because they allow stochastic evaluations of the likelihood of an event (failure) over time to be combined into an overall picture of system performance that can be represented as a series of cash flows. This takes the esoteric knowledge of asset performance and degradation mechanisms and translates it into the language of finance through life cycle costs associated with alternative scenarios.
System reliability models are constructed using historical data against different known risks on the assets. In the following example, we create a model of a system which collects water from a source via a pump and then runs the water through a production process:
The first step is to identify the key risks and associated mitigating actions in the system. In the example scenario, the identified risks for the pump are failure to the impeller, to the seals, and to the bearings. The mitigating actions considered are time-based seal replacement, periodic vibration analysis, and a time-based impeller redesign. Model parameters for reliability distributions and associated costs are estimated from historical data within APM.
The model outcomes are generated through Monte Carlo simulations over a defined period and incorporates inherent uncertainty in the system model. The chart below shows the results of a Monte Carlo simulation for a period of five years. The results show that while the total costs in the mitigating actions scenario are much less than the no-actions scenario, the cost due to production losses is higher. The higher production losses are due to the system shutdown required to execute the mitigating actions.
Monte Carlo simulations are repeated computational experiments where uncertain model factors are represented by a range of a possible values through a probability distribution. Model outputs are simulated through random sampling of the different distributions and the final results account for the corresponding possible outcome values.
An analyst has the ability within APM to drill down into the model results to compare the simulated financial impacts by risk. Below is a side-by-side comparison of the total five-year costs between both scenarios split by risk. The proposed mitigating actions have substantial savings associated with seal and impeller failure, but have smaller impact on the total cost associated with bearing failure.
Simulation modeling of system reliability can be used to identify the effectiveness of risk mitigating actions based on historical data, and may be used as a highly effective tool for the industry professional to perform:
Simulation modeling of system reliability is just one example of the digital twin capabilities within our Predix APM solution. In general, specific digital twin approaches will depend on the asset model, available information, and the desired business outcome.
Data Scientist, Asset Performance Management, GE Digital
Sarah's current role involves analyzing asset maintenance data and creating statistical models and data tools that support the asset performance management business process. This involves components from natural language processing, machine learning, and reliability engineering. Prior to joining Meridium, Inc. (which was acquired by GE Digital in 2016) Sarah’s research focused on building data-driven computational models forecasting infectious disease and control.
With APM Reliability, part of Predix Asset Performance Management (Predix APM), asset-intensive organizations can leverage advanced predictive diagnostics to analyze data, and detect and diagnose asset issues before they occur.