OnePact Predict
Onepact Predict
Minimizes unplanned downtime by using advanced predictive analytics to assess and optimize production assets. Proactively identifies potential failures, allowing for timely maintenance and improved operational performance.
This approach optimizes resource allocation, reduces maintenance costs, and ensures consistent reliability across multiple assets.
Maximize efficiency by minimizing surprises with proactive insights.
OUR APPROACH TO KEY CHALLENGES
Operational Challenges: Resolved
CHALLENGE
SOLUTION
Unplanned Operational Failures
Digital Twin Technology
Creates digital twins to anticipate and prevent operational issues.
Data Integration Difficulties
AI-Based Data Integration
Integrates and analyzes data using AI for accurate predictions.
Delayed Anomaly Detection
Advanced Real-time Monitoring
Enables real-time monitoring and early detection of anomalies.
Inefficient Resource Allocation
Optimized Resource Allocation
Uses AI to optimize maintenance schedules and reduce downtime.
Scalability Challenges
Scalable Predictive Models
Ensures scalable models for efficient application across multiple assets.
Features
Predictive technology to prevent issues and enhance operational reliability
Case Study
All, before the damage was done.
Predıctıve Maıntenance
Generator Lower Guide Bearing Temperature
Type: Hydorlectric Power Plant
Power Plant: Hacınınoğlu HES
Installed Capacity: 200MW
Generator Count: 64
Owned By: Enerjisa Üretim A.Ş
Case:
While there are still 6 months until the scheduled maintenance period, OnePact Predict detected abnormal conditions in one of the generators.
Following an investigation into bearing parameters, temperature deviation was observed. The hydro maintenance team replaced the generator guide bearing heat exchanger.
All before the real damage was done.
SUMMARY:
Prevented Fault
Approximate full generator bearing replacement time.
Prevented Loss
280 MWh of Production
Approximate equivalent of loss is: $20,000.
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