Predictive Maintenance
Predictive maintenance support

WHAT WE OFFER YOU
Anticipating failures is now possible thanks to data analysis and a data-driven approach.
KyberEdge helps you transition from reactive maintenance to predictive and planned maintenance by leveraging data collected from machines to identify drifts, anomalies, and early warning signs.
We integrate these systems with ERP or CMMS platforms to automate intervention management and reduce unplanned downtime.
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WHAT WE SOLVE
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Unexpected and costly failures
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Interventions performed too late or too early
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Inefficient maintenance planning
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Limited use of machine data
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CUSTOMER BENEFITS
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Fewer downtimes, greater productivity
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More efficient and less expensive maintenance
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Increased plant reliability
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Better technical and economic planning
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WHAT WE DO
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Operational Data Collection
Acquisition of temperatures, vibrations, event logs, and consumption data from PLCs/sensors. -
Data Cleaning, Storage, and Enrichment
We consolidate and prepare data for predictive analysis. -
Predictive Model Development and Training
We use ML/AI algorithms to estimate remaining useful life and detect anomalies. -
Predictive Alerts and Smart Scheduling
We generate early alerts integrated with CMMS/ERP systems for automated maintenance.
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TECHNOLOGIES AND APPROACH
EXPECTED OUTPUT FOR THE CUSTOMER
TECHNOLOGIES AND APPROACH
Machine Data Collection via Industrial Protocols (OPC UA, MQTT, Modbus, REST)
Data Engineering on Historical and Real-Time Streams (Azure Data Explorer, Fabric, Data Factory)
AI/ML Models Developed on Platforms such as Azure Machine Learning or scikit-learn in cloud/on-premises environments
Predictive Dashboards for Maintenance Technicians and Managers, displaying current status and future projections
Integration with CMMS (Computerized Maintenance Management System) and ERP Software to orchestrate activities

EXPECTED OUTPUT FOR THE CUSTOMER
Reduction of Unplanned Downtime, with a positive impact on productivity and quality
Optimization of Maintenance Costs by avoiding unnecessary interventions
Proactive and Intelligent Scheduling of maintenance activities
Extension of the Useful Life of machinery and critical components
Improved Operational Reliability, measurable through KPIs such as MTBF, MTTR, failure rate, etc.
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Interfaces for customers and suppliers
Communication with customers or external stakeholders
Interfaces for customers and suppliers
Communication with customers or external stakeholders
Interfaces for customers and suppliers
Communication with customers or external stakeholders