Eliminate Unplanned Fan Outages!

AI Smart Vibration Monitoring Extends Asset Lifespan and Drives Green Energy Efficiency

Is Your Facility Management Paying These High Costs?

Unplanned Outages

Blade imbalance and bearing wear lead to abnormal vibrations. Without early warnings, sudden downtime results in severe production losses.

High Reliance on Tribal Knowledge

Traditional manual inspections are time-consuming and labor-intensive. Senior technicians' experience is hard to digitize and pass on, while non-technical staff struggle to interpret complex vibration waveforms.

Elevated Energy Consumption & Carbon Emissions

Operating degraded fans causes power consumption to surge—failing to meet modern green factory and ESG energy-saving benchmarks.

Smart Diagnostics Driving Energy Efficiency & Reliability

During operation, industrial fans can suffer from blade imbalance, bearing wear, and other issues that trigger abnormal vibrations and power spikes. Prognosis Technology helps maximize energy efficiency through the following technologies:

Real-Time Vibration Monitoring & Early Warning

High-precision vibration sensors monitor blade and bearing spectra with millisecond-level sampling frequency. Paired with AI diagnostic software, the system analyzes vibration data to detect early anomalies—such as bearing lubrication failure—preventing fault degradation and cutting unplanned downtime risks.

Fault Diagnostics & Sustainability

Our diagnostic software delivers 21 fault detection capabilities in an intuitive format. Non-technical personnel can instantly grasp equipment health, empowering teams to make precise, timely maintenance decisions. Furthermore, early diagnosis extends the operational lifespan of critical components (like bearings and gearboxes), lowers replacement frequency, and reduces material waste—achieving both reliability and ESG sustainability.

Real-Time Vibration Sensing:High-precision sensors capture blade and bearing spectra to pinpoint machine anomalies in real time.
AI Diagnostic Software:Intelligent models issue early risk warnings to drastically reduce unexpected downtime.
Intuitive Fault Reports:Clear results across 21 failure modes allow non-technical staff to assess equipment health accurately and effortlessly.