Equipment Health Systems
Our Equipment Health Systems & Predictive Maintenance Systems blend wireless vibration, temperature and oil-quality sensors with edge-AI analytics, built to ISO, and IEC standards. They spot bearing wear, misalignment and lube issues weeks ahead—cutting emergency stops, spare-parts spend and production loss for factories, power stations and oil-&-gas sites from Damascus to the Gulf.

Vibration & Temperature Monitoring
ISO-compliant wireless sensors stream and hotspot temperature data every minute, flagging imbalance and bearing faults before they escalate—ideal for Syrian cement, textile and petro-plants.
Oil & Lubricant Analysis
Inline viscosity, particle and moisture probes track lubricant health 24/7. Dashboards alert maintenance when oil degrades, extending gearbox and turbine life in harsh Middle-East heat.
AI Maintenance Analytics
Edge gateways run machine-learning models on historical trends, predicting Mean-Time-To-Failure and auto-creating work orders in CMMS—slashing unplanned downtime and service costs by up to 30 %.
Why Choose Ghali Tech?
We pride ourselves on delivering top-notch products/services along with unmatched support. With years of experience in the industry, we have built a reputation for excellence and have become the go-to choice for customers who seek the best.
Certified expertise
Our team of skilled professionals possess unmatched expertise in their respective fields, ensuring that you receive the highest level of service.
End‑to‑end delivery
We understand that every customer is unique, and we tailor our solutions to meet your specific needs, offering customized options that perfectly align with your goals.
Proven track record
We value your time and guarantee prompt delivery of our products/services, enabling you to stay on track and meet your deadlines.
Frequently Asked Questions
Do sensors need a shutdown to install?
No—magnetic or adhesive mounts clip onto running equipment; installs finish during normal operation.
How soon will we see ROI?
Most plants recover the investment within 12–18 months through avoided failures and optimized service intervals.
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