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Average Ratings 0 Ratings
Description
Determining whether a machine is operational is relatively straightforward, but forecasting its potential failures over the coming days, weeks, or even months is considerably more complex. Envision a scenario where one of your industrial assets could inform you about an impending issue twelve months in advance, specifying not only the exact nature of the problem but also its underlying causes. With such foresight, you can strategically plan repairs or replacements well ahead of time, thereby significantly cutting costs by utilizing the ANNEA automated predictive maintenance platform. ANNEA stands out as the premier next-generation platform for condition-based predictive and prescriptive maintenance tailored for your machinery. Our innovative end-to-end solutions allow us to develop digital twins for each component of your machines, leveraging advanced artificial intelligence, physical modeling, and normal behavior modeling to enhance performance and reliability. This approach not only improves operational efficiency but also empowers you to make data-driven decisions for long-term asset management.
Description
Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.
API Access
Has API
API Access
Has API
Integrations
SAP Store
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ANNEA
Founded
2019
Country
Germany
Website
annea.ai
Vendor Details
Company Name
Aspen Technology
Founded
1981
Country
United States
Website
www.aspentech.com/en/products/apm/aspen-mtell
Product Features
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Product Features
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management