Optimize Performance with Fault Detection
Our Fault Detection API used advanced algorithms to analyze machine data in real time, spotting early signs of malfunction or system drift before they escalate.
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Fast and Seamless Integration
API-based approach scales easily into existing systems.
Customised Solution
Work closely with our team to build API shaped for your operational workflows
Reduced Maintenance Costs
Lower repair expenses by addressing faults before they worsen
Monitor and Optimize equipment performance using anomaly detection
Track your equipment in real-time to detect anomalies such as vibrations, part misalignments, or irregular patterns.
Predict and address maintenance needs
Schedule maintenance based on data-driven insights, reducing downtime and maximizing resource efficiency.
Ensure system stability by identifying critical faults
Real-time detection of faults ensures operational stability and prevents unexpected shutdowns.
Ensure safety and compliance with operational monitoring
Monitor environmental parameters and safety systems to detect anomalies in emissions, temperatures, or other metrics.
Track the health of assets to prevent failures
Stay ahead of system degradation and implement timely interventions to keep your operations running smoothly.
CASE STUDY
A leading bearings manufacturer uses the API to enhance wind turbine efficiency and minimize downtime
Challenge
Frequent bearing faults in wind turbines cause unplanned downtime, high maintenance costs, and reduced operational efficiency. Traditional diagnostic methods are time-consuming, labor-intensive, and prone to errors, making it difficult to detect and address issues proactively.
Solution
Pandita partnered with the manufacturer to deploy tailored Gen AI applications, creating a solution that identifies faults early, diagnoses issues accurately, and predicts bearing lifespan. With three custom machine learning models, the solution integrates seamlessly with existing systems to improve turbine operations.
Anomaly Detection
Diagnostics
Prognostics
Result
60%
reduction in unplanned downtime
80%
improvement in operational efficiency
15%
decrease in maintenance costs
85%
reduction in bearing-related faults
"Unplanned downtime disrupts everything—from energy production to maintenance schedules. With Pandita, we’ve streamlined and balanced maintenance needs with operational demands."
Ready to get started?
Get in touch to learn how our Fault Detection API can help you identify issues before they escalate, improve operational reliability, reduce downtime, and save costs.
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Fault Detection for Predictive Maintenance
Object Detection and Distance Measurement
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Anomaly Detection
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Anomaly Detection
Anomaly Detection
Anomaly Detection
Anomaly Detection
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Fault Detection for Predictive Maintenance
Object Detection and Distance Measurement
Supplier Ranking and Recommendation
Anomaly Detection
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