Predictive Maintenance Solutions

AI-Powered Condition Monitoring & Fault Prediction

Advanced Condition Monitoring

Multi-parameter sensing for early fault detection

Vibration Analysis

Advanced spectral analysis (FFT) to identify mechanical faults with precision.

  • Unbalance & Misalignment
  • Bearing Defects (BPFO/BPFI)
  • Mechanical Looseness
  • ISO 10816 Standards
AI Anomaly Detection

Machine Learning algorithms that detect subtle deviations before failure occurs.

  • Unsupervised Learning
  • RUL Prediction (Life Left)
  • Auto-Thresholding
  • False Alarm Reduction
Thermal Monitoring

Non-contact temperature monitoring to spot overheating components instantly.

  • Electrical Cabinets
  • Motor Windings
  • Steam Traps
  • Refractory Lining
Ultrasound Analysis

Detects high-frequency friction and turbulence earlier than vibration analysis.

  • Air & Gas Leak Detection
  • Early Bearing Failure
  • Lubrication Optimization
  • Steam Trap Testing
Oil Analysis

Chemical analysis of lubricants to check health and wear particles.

  • Wear Particle (Tribology)
  • Moisture & Contamination
  • Additive Depletion
  • Viscosity Changes

Why Predict?

Moving from reactive to proactive maintenance

Operational Impact

Zero Unplanned Downtime

Fix machines during scheduled stops, not during production.

  • Up to 50% reduction in downtime
  • Optimized spare parts planning
  • Extended asset life
Financial Impact

Cost Reduction

Significant savings on emergency repairs and overtime.

  • 25-30% lower maintenance costs
  • 10-15% energy savings via efficiency
  • Rapid ROI (often under 12 months)

Our PdM Services

Tailored solutions for your facility

Offline Survey

Biannual

Custom

On-site measurement & report

Online Monitoring

24/7 Real-time

SaaS

Cloud-based AI alerts