Predictive Maintenance
CTC deploys IoT sensors, vibration analysis, and machine learning models to predict equipment failures weeks in advance — so your maintenance team fixes things on their schedule, not after an emergency shutdown.
Most plants know their maintenance approach is imperfect. Few have the data infrastructure to do better. CTC fixes that.
Time-based maintenance schedules don't account for actual equipment condition. You're either over-maintaining healthy assets or missing early-stage faults that will cause failures.
Bearing wear, shaft misalignment, imbalance, and coupling degradation are invisible without continuous monitoring. By the time symptoms are obvious, the damage is done.
Maintenance teams spend more time on emergency repairs than planned work. Emergency response costs 3–5x more than planned maintenance — and the downtime impact compounds.
From site survey to live predictive monitoring — deployed without disrupting operations.
Digital maturity baseline, asset criticality mapping, and failure history review. We identify which assets pose the highest risk and prioritize monitoring accordingly.
Vibration, temperature, and pressure sensors on critical rotating equipment — pumps, motors, compressors, blowers. Designed for ATEX/industrial environments.
Machine learning trained on your equipment's historical data. FFT analysis, fault pattern matching, and Remaining Useful Life (RUL) projection — weeks of advance warning.
Real-time alerts to maintenance teams via mobile or CMMS integration (SAP PM, Maximo, or custom). Anomaly dashboards with full data historian for trend analysis.
Any rotating or mechanical asset critical to your operations.
Predictive maintenance deployed across industrial verticals.
Your maintenance team stops chasing emergencies and starts working on a planned schedule. Equipment runs longer. Repairs cost less. And your operations team finally has the visibility to make proactive decisions.
40% reduction in unplanned maintenance downtime (BCI Yanbu)
2–4 weeks advance warning before critical rotating equipment failures
Eliminated manual vibration readings across all monitored assets
Remaining Useful Life (RUL) modeling for pumps, blowers, and compressors
Full shift from time-based to condition-based maintenance
ISO 10816-3 / ISO 14694 compliant monitoring
No added headcount — monitoring runs automatically 24/7
Case Study
Basic Chemical Industries in Yanbu, Saudi Arabia deployed CTC's vibration intelligence system on critical rotating assets — a vertical process pump and centrifugal air blower. ML fault pattern modeling detected an impending pump failure and enabled the maintenance team to intervene before a catastrophic shutdown. Result: 40% reduction in unplanned downtime and a full shift to condition-based maintenance.
Start with an asset survey. We identify your highest-risk equipment and show you exactly what monitoring looks like in practice.