APM Studio
Predictive Maintenance Software running on real-time data and analytics
Page last modified
April 11 2024
UReason APM Studio improves your asset management, processes and maintenance by digitising your maintenance operations. Our APM software provides a variety of AI techniques and tools that help you to quickly set-up and train APM solutions. These solutions allow you to provide Condition Based Monitoring, Predictive Failure Models and Probabilistic Risk Models for your important assets.
Pros & Limitations
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Reduced asset downtime
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Reduction of maintenance costs
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Increased production
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Multi-level deployment - embedded, edge, cloud
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Multi-source connectivity
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Combining real-time data and analysis simultaneously
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Smart objects libraries
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No coding required
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Automated workflow and actions
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Implementation that requires company-wide commitment on all levels
Specification
Specification Title | Specification Description |
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Areas of Application
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Predictive Maintenance can be applied anywhere where uptime for critical assets/processes is essential. Asset Owners, Origincal Equipement Manufacturers and Maintenance Repair Operation companies all will have substantial benefits from PdM.
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Asset life extension
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Predictive Maintenance helps to plan maintenance before asset failures, increasing the overall life-cycle of the asset.
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Asset Management
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Predictive Maintenance allows to manage the overall efficiency and life-cycle of the process critical assets.
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Business Efficiency
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Predictive Maintenance allows organizations to reduce operational costs, optimize their processes, improve operational readiness, reduce risk and improve the strategic positioning.
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Condition based maintenance
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Condition Based Maintenance allows to have real-time overview of the health of the assets, improving maintenance efficiency.
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Deployment
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UReason’s APM Studio can be deployed embedded, on edge or running on cloud.
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Digitisation
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Implementing Predictive Maintenance solutions enables companies to move towards digital journey of smart maintenance.
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Maintenance
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Predictive Maintenance predicts the remaining useful life-cycle of the asset, which enables to plan maintenance activities accordingly when they are actually needed.
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Return on Investment
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Predictive Maintenance reduces unplanned downtime, maintenance costs, production stops, stock of spare parts, which results on positive ROI in the long run.
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Safety
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Predictive Maintenance helps to predict asset failures before they happen, resulting in increasead safety for the workers through prevention of accidents due to asset failures.
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Reviews
Technology Readiness Level
The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.
[9/9]
Development
Technology demonstration
Mature / Proven
Relative Business Impact
Solution Deployed By

Company Name
Total Deployments
Comment
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Last Deployment Year