Predictive Maintenance: Vibration Analytics & Condition Monitoring for High-Value Industrial Assets
Industrial assets such as wind turbines operate under complex and highly variable conditions. Factors like wind speed and direction, temperature variations, imbalance, bearing degradation, gearbox wear, shaft misalignment, and generator faults directly impact uptime, maintenance cost, and long-term asset value.
ConnectedThinks delivers end-to-end Predictive Maintenance solutions that convert high-frequency vibration and SCADA data into actionable insights—helping asset owners maximize lifetime value, reduce unplanned downtime, and achieve measurable ROI.
We deliver
End-to-End Predictive Maintenance Solutions
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Sensor selection, installation guidance, and calibration
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High-frequency vibration data acquisition using IEPE, piezoelectric, and MEMS sensors
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Integration with Wind SCADA systems and operational data sources
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Centralized IIoT data ingestion, storage, and management
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Advanced analytics, visualization, alarms, and reporting
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Remaining Useful Life (RUL) estimation for critical components
Vibration Analytics & Condition Monitoring
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Time-domain and frequency-domain signal analysis
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Baseline spectrum generation and deviation tracking
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Fault detection across rotor, shaft, gearbox, generator, and bearings
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Automated anomaly detection using AI/ML models
AI Modelling & Engineering Services
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Custom AI models tailored to sensor types, SCADA parameters, historical maintenance records, and site-specific wind characteristics
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Data quality monitoring, validation, and cleansing
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Energy production, loss analysis, and condition-based alerts
CBM Portal & Analytics Platform
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Ready-to-deploy Condition-Based Monitoring (CBM) portal
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Historical and real-time data analysis
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Asset-wise, region-wise, and fleet-level dashboards
Use Cases
Certified Vibration Expertise
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Access to qualified vibration analysts and certified engineering services
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Proven methodologies aligned with industry best practices
Actionable Insights, Not Just Data
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R/Y/G (Red-Yellow-Green) health indicators for quick decision-making
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AI-driven anomaly detection and automated alerts
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Root-cause analysis using detailed time and frequency domain views
Deep Sensor & Signal Processing Know-How
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Experience with high-quality piezoelectric, IEPE, and MEMS sensors
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High-frequency band capture for early fault detection
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Advanced filtering, FFT, envelope analysis, and spectral diagnostics
Improved Asset Life & ROI
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Reduced unplanned downtime
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Optimized maintenance schedules
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Extended asset lifetime and improved long-term value
Production-Ready Analytics Platform
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Ready IIoT platform for ingesting real-time and historical vibration data
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Scalable data architecture designed for long-term data retention
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Asset-wise, region-wise, and fleet-level analytics
Ready to move from reactive maintenance to predictive intelligence?
Connect your vibration and SCADA data to the ConnectedThinks CBM portal and unlock automated condition monitoring, early fault detection, and data-driven maintenance decisions.
👉 Schedule a Demo
Let’s discuss your assets, data availability, and how predictive maintenance can deliver measurable ROI for your operations.
Reach out to us today!