GE Vernova Features
What are the features of GE Vernova?
Monitoring
- Use
- Reliability
- Risk
Analytics
- Dashboards
- Performance
- Forecasting
Agentic AI - Asset Performance Management
- Proactive Assistance
- Decision Making
Top-Rated Alternatives
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Monitoring
Use | As reported in 32 GE Vernova reviews. Monitor asset use across multiple locations and keep history. | 84% (Based on 32 reviews) | |
Reliability | Track asset reliability data such as downtime or idle time. This feature was mentioned in 30 GE Vernova reviews. | 82% (Based on 30 reviews) | |
Risk | Based on 31 GE Vernova reviews. Identify various types of risks such as non-compliance or safety violations. | 80% (Based on 31 reviews) | |
Alerts & Notifications | Receive timely notifications about system issues or abnormalities. | Not enough data | |
Analytics | Collect data related to device processes and conditions. | Not enough data |
Analytics
Dashboards | Based on 32 GE Vernova reviews. Deliver dashboards that display KPIs and live data. | 79% (Based on 32 reviews) | |
Performance | Analyze performance for individual assets, by category or location. 32 reviewers of GE Vernova have provided feedback on this feature. | 83% (Based on 32 reviews) | |
Forecasting | As reported in 31 GE Vernova reviews. Predict future trends and risks that may impact asset performance. | 75% (Based on 31 reviews) | |
Queries | Run detailed queries for searching, sorting, and analyzing data. | Not enough data | |
Dashboards | Create personalized dashboards for observing and interacting with data. | Not enough data | |
Visualizations | Contains tools to visualize data sets or workflows. | Not enough data | |
Insights | Offers actionable insights or relevant findings from unstructured data sets. | Not enough data | |
Monitoring | Track the inspection process to ensure it follows procedures and complies with regulations. | Not enough data | |
KPIs | Analyze inspection metrics such as cost of quality or Overall Operations Effectiveness (OOE). | Not enough data | |
Nonconformace | Generate nonconformance records and reports for defective products or noncompliance. | Not enough data |
Data Sources
Pre-Built Connectors | Provides useful pre-defined data connections to various types of IoT sensors and objects. | Not enough data | |
API | Provides a robust external interface for integrating data, logic and workflows with other software applications. | Not enough data | |
Performance and Stability | Maintains an efficient, reliable data flow with established sources. | Not enough data |
Metrics
Operational Performance | Learn about overall operational performance from device observations. | Not enough data | |
Environmental Conditions | Make observations about environmental and workplace conditions. | Not enough data |
Device Recognition
Device Types | Recognizes a variety of sensor and device types. | Not enough data | |
Dashboard | Has a centralized dashboard of connected devices for users to interact with. | Not enough data |
Provisioning
Remote Configuration | Modify device or sensor settings from anywhere. | Not enough data | |
Event Triggering | Allows for remote execution of device actions and events. | Not enough data | |
Firmware Updates | Send bulk updates and upgrades directly to devices. | Not enough data |
Application Design
Interface | Offers simple, intuitive interface for designing IoT applications with little or no coding. | Not enough data | |
Templates | Includes pre-built templates for basic IoT applications or components. | Not enough data | |
Device Workflows | Allows for designing and deploying of connected system workflows. | Not enough data | |
Hardware Support | Supports a variety of connected objects and sensor types. | Not enough data | |
Application Deployment | Releases the live application for its intended use. | Not enough data |
Application Control
Data Migration | Lets users add data from existing sources when creating the initial application or changing data sources. | Not enough data | |
Data Syncronization | Continuously updates data as users or external data sources are edited. | Not enough data | |
Data Security | Encrypts or provides some form of firewall to prevent external parties from accessing sensitive data. | Not enough data | |
Integrations | Offers pre-built integrations with other development software and/or IoT software. | Not enough data | |
Lifecycle Management | Provides ability to manage application and maintenance from build, throughout the release, and until its deactivation. | Not enough data | |
Analytics | Generates data related to application usage and performance. | Not enough data |
Systems Management
System Integration | Connect disparate systems to form a unified intelligent manufacturing architecture. | Not enough data | |
Remote Access | Allows for remote control and modification of individual devices or systems. | Not enough data | |
Workflows | Design intelligent workflows for specified devices, such as automated adjustments and event triggers. | Not enough data | |
Hardware | Integrates with existing IoT hardware. | Not enough data | |
Dashboard | Has a centralized dashboard for users to interact with. | Not enough data |
IoT Capabilities
Process Automation | Automate processes for individual devices or unified systems. | Not enough data | |
Safety | Offers assistance with employee, product, and equipment safety. | Not enough data | |
Environmental Conditions | Observe and respond to environmental changes. | Not enough data | |
Resource Optimization | Improves resource utilization across connected devices. | Not enough data | |
Product Quality | Assists with overall improvement of product quality and volume. | Not enough data | |
Predictive Maintenance | Provides timely insights into equipment health and conditions for proactive maintenance. | Not enough data | |
Analytics | Provides pre-built or customizable performance reports. | Not enough data |
Digital Twin Creation
Modeling | Create realistic models of physical assets. | Not enough data | |
Interface | Provides a functional, intuitive interface for building digital twins. | Not enough data | |
Tools | Has a variety of tools and features to enhance model designs. | Not enough data | |
Templates | Offers pre-built templates for digital twins based on accurate models of physical assets | Not enough data |
Process Simulation
Workflows | Allows for simulation of real-life data flows and processes involving other systems | Not enough data | |
Interactivity | Interact with specific components within simulations. | Not enough data | |
Events | Simulate various potential events related to specific assets and processes. | Not enough data | |
Analytics | Offers data and visualizations for asset performance, output, and resource usage. | Not enough data |
Condition Monitoring
Predictive Inspection | Perform inspections and testing while the equipment is in service | Not enough data | |
Monitoring | Gather data about equipments and their environmental characteristics such as temperature or humidity. | Not enough data | |
Condition-Based Maintenance | Define and implement maintenance schdules based on real ime data and precitive analysis. | Not enough data | |
Asset Types | Monitor cvarious type of assets such as equipment, facilities, or networks | Not enough data | |
IoT Monitoring | Use IoT to monitor assets accross multiple locations and work centers | Not enough data |
Detection & Identification
Failure Detection | Perform diagnostics and compare with historical failure data | Not enough data | |
Source Identification | Allow users to find the sources of failure patterns and anomalies. | Not enough data | |
Proactive Alerts | Notify users when there is a risk of failure or malfunction | Not enough data |
Analysis & Insights
Root Cause | Identify the root cause of equipment failures | Not enough data | |
Recommendations | Recommend preventive actions to to address issues before they occur. | Not enough data | |
Systemic Risks | Identify risks that may impact asset performance accross multiple locations. | Not enough data |
Execution
Corrective Actions | Implement action plans which can be prioritized based on severity. | Not enough data | |
Data Capture | Capture inspection data including photos and video, both online and offline. | Not enough data | |
Reports | Generate inspection reports using the information gathered during the inspection. | Not enough data | |
Ad-hoc Tasks | Allow users to create ad-hoc or unplanned inspection tasks. | Not enough data |
Planning
Checklists | Ability to create configurable forms and checklists to capture inspection information. | Not enough data | |
Approvals | Ability to define criteria and workflows to approve or reject inspection tasks. | Not enough data | |
Scheduling | Organize inspection tasks based on constraints such as inspector availability. | Not enough data | |
Procedures | Allow users to create procedures and workflows for multiple types of inspections. | Not enough data |
Agentic AI - Asset Performance Management
Proactive Assistance | As reported in 18 GE Vernova reviews. Anticipates needs and offers suggestions without prompting | 54% (Based on 18 reviews) | |
Decision Making | Based on 19 GE Vernova reviews. Makes informed choices based on available data and objectives | 65% (Based on 19 reviews) |
Agentic AI - Predictive Maintenance
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data |