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
The manufacturing sector stands at a pivotal moment, facing immense pressure to innovate and embrace Industry 4.0. As you navigate the complexities of digitizing operations, optimizing workflows, and boosting market share, it can feel like an insurmountable challenge, especially with potentially fewer resources at your disposal. Braincube empowers you to harness your data effectively and revolutionize your operations. We initiate the process by integrating your data from any source and in any format. This centralized data platform is consistently refreshed and accessible around the clock. Our middleware efficiently processes and sanitizes your raw data in real-time, providing you with actionable insights to minimize costs and risks, enhance optimization, and elevate quality. This automation of data management not only saves time but also reduces expenses associated with selecting, extracting, transferring, and preparing your data. Your raw data is always contextualized, ensuring it is primed for analysis. With structured and contextualized data, you now possess a Digital Twin that is readily available for use on any production line at any time, enabling you to make informed decisions rapidly. Ultimately, this transformation allows for more agile responses to market demands and operational challenges.
API Access
Has API
No
API Access
Has API
No
Integrations
AVEVA PI System
No
Amazon Web Services (AWS)
No
EcoStruxure
No
Google Cloud Platform
No
ICO Fire RMS
No
Microsoft 365
No
Microsoft Azure
No
Siemens Opcenter APS
No
dataPARC Historian
No
Integrations
AVEVA PI System
Yes
Amazon Web Services (AWS)
Yes
EcoStruxure
Yes
Google Cloud Platform
Yes
ICO Fire RMS
Yes
Microsoft 365
Yes
Microsoft Azure
Yes
Siemens Opcenter APS
Yes
dataPARC Historian
Yes
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
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
No
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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
GE Digital
Country
United States
Website
www.ge.com/digital/applications/asset-performance-management/apm-health
Vendor Details
Company Name
Braincube
Country
United States
Website
braincube.com/why-braincube/
Product Features
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
Manufacturing Intelligence
Aggregation
No
Analysis
No
Contextualization
No
KPIs
No
Propagation
No
Visualization
No