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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.

Description

The Reliability Centered Maintenance (RCM) platform by BAE Systems offers a methodical way to enhance asset upkeep and set safe, optimal maintenance levels for intricate and essential assets. The RCM Toolkit aims to assist organizations in developing a cost-efficient maintenance plan that targets the primary reasons for equipment malfunctions, reduces risks related to safety, environmental issues, and operational disruptions, while also curtailing unnecessary maintenance efforts. Rather than solely depending on preventive maintenance or addressing issues post-failure, the RCM methodology employs a structured decision-making process that weighs risks, costs, and environmental considerations, ultimately prolonging the operational lifespan of the equipment. This comprehensive toolkit aids users in identifying and articulating the maintenance challenges, collecting essential data, specifying equipment functionalities and performance expectations, pinpointing functional failures, determining failure modes, documenting the implications of failures, and choosing maintenance strategies informed by the potential consequences of each failure. By systematically addressing these aspects, organizations can achieve a more reliable and efficient maintenance regime.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

SAP Store Yes 

Integrations

SAP Store No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Aspen Technology

Founded

1981

Country

United States

Website

www.aspentech.com/en/products/apm/aspen-mtell

Vendor Details

Company Name

BAE Systems

Country

United Kingdom

Website

www.baesystems.com/en/product/reliability-centered-maintenance-software

Product Features

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management No 

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