Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
APM Health, a component of GE Digital's asset performance management suite, oversees data for a wide range of assets and systems, thereby establishing a thorough and validated data repository that offers a unified perspective on anticipated performance across asset, plant, and enterprise levels. By addressing the issues of data inconsistency and delay linked to industrial asset management, APM Health grants users a real-time insight into asset health and condition, issues early warnings about possible failures, and identifies areas of elevated risk. The health manager utilizes the gathered data to assess and communicate the asset's current health within its operational framework. It employs anomaly detection through the calculation of various metrics and the implementation of rule-based exceptions. Furthermore, the health manager facilitates both continuous monitoring of asset health through data oversight and discrete or periodic assessments via rounds and calibration management, ensuring a comprehensive approach to asset reliability. This dual monitoring capability enhances the overall effectiveness of asset management strategies, allowing for timely interventions and informed decision-making.
Description
Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Advantech WebAccess/CNC
No
Azure Stream Analytics
No
Barracuda PST Enterprise
No
Google Cloud Platform
No
Microsoft Azure
No
SIGNL4
No
Integrations
Advantech WebAccess/CNC
Yes
Azure Stream Analytics
Yes
Barracuda PST Enterprise
Yes
Google Cloud Platform
Yes
Microsoft Azure
Yes
SIGNL4
Yes
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
GE Digital
Country
United States
Website
www.ge.com/digital/applications/asset-performance-management/apm-health
Vendor Details
Company Name
Crosser Technologies
Founded
2016
Country
Sweden
Website
www.crosser.io
Product Features
Product Features
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
IoT Analytics
Activity Dashboard
No
Activity Tracking
No
Analytics
No
Asset Tracking
No
Data Collection
No
Data Synchronization
No
Data Visualization
No
ETL
No
Multiple Data Sources
No
Performance Analysis
No
Real-Time Analytics
No
Real-Time Data
No
Real-Time Monitoring
No
Status Tracking
No