Case Study | Can Rising Fan Vibration Hidden Dangers Go Undetected? An Intelligent O&M Platform Accurately Identifies the Problem of Blade Material Buildup

In a cement production line, the dust collector’s exhaust fan is a critical piece of equipment for controlling environmental emissions and maintaining stable system negative pressure. Once powder accumulates on the fan blades, rotational imbalance quickly sets in: equipment vibration steadily escalates, energy consumption surges, and in severe cases, bearings can be damaged outright, leading to excessive gaseous emissions and forcing the entire production line to shut down—resulting in dual losses for the enterprise, both environmental and operational.

Today, we’ll walk you through a real‑world cement plant operations case to see how an industrial intelligent O&M platform leverages real‑time monitoring data to detect vibration anomalies early, precisely identify blade‑material‑accumulation faults, and guide on‑site teams in swift repairs—eliminating both equipment‑related and environmental‑compliance risks in one go!

1. Vibration levels continue to rise, triggering automatic platform alerts for potential hazards.

In May 2026, during online monitoring of the dust-collection exhaust fan on limestone crushing line 02.07, it was observed that the vibration velocity curve at the fan blade tips steadily increased, with peak values exceeding 8 mm/s—far surpassing the equipment’s safe operating threshold—prompting the system to immediately trigger a tiered alarm.

The platform simultaneously pushes a comprehensive alarm list, highlighting precise equipment measurement points, vibration exceedance trend curves, and abnormal values, while providing synchronized feedback. Preliminary diagnostic conclusion: “Equipment imbalance / Foundation loosening” , 24-hour online monitoring to prevent hidden faults from worsening.

II. Dual-Dimension Analysis of Vibration Trends and Spectrum to Identify the Root Cause of Imbalance

The operations and maintenance diagnostics team retrieved long-term vibration trend and spectrum data for a comprehensive analysis:

The long-term trend shows a steady, gradual increase in vibration levels; in the spectral data, the 25 Hz rotational frequency and its harmonics exhibit prominent energy, with the fundamental frequency amplitude remaining consistently high—characteristic of rotor imbalance.

Based on a comprehensive assessment of the production line’s operating conditions, the most likely cause of the fault is material buildup or wear on the blades. It is recommended that the enterprise schedule a shutdown to inspect and clean the impeller.

III. On-site shutdown verification confirms the blade‑material‑accumulation issue beyond doubt.

On June 7, on-site personnel followed the platform’s diagnostic recommendations to shut down the unit and perform an open‑circuit inspection. Visual inspection revealed substantial deposits adhering to the fan blades, fully consistent with the platform’s preliminary fault diagnosis.

The maintenance team performs only a thorough cleaning of ash and debris accumulated on the blades, eliminating the need to replace bearings, impellers, or other spare parts. The inspection and repair process is straightforward and time‑efficient, significantly reducing downtime.

IV. The maintenance and restart yielded immediate results, with equipment operation returning to stable performance.

On June 9, equipment cleaning was completed and production resumed. Real-time monitoring data on the platform clearly demonstrates the improvement: the vibration velocity at the fan blade tips has dropped significantly, remaining stably below 2 mm/s; the entire unit operates smoothly with no abnormalities, and equipment performance has returned to within the standard operating range.

V. Case Review | The Three Core Values of the Intelligent O&M Platform Emerge Clearly

The end-to-end handling of the material‑accumulation imbalance fault in this dust‑collection exhaust fan fully demonstrates the robust advantages of the digital operations and maintenance platform:

1. Long-term trend monitoring to proactively avoid unexpected outages.

Detect subtle anomalies as vibration gradually rises at an early stage, secure ample maintenance windows, avoid emergency repairs triggered by complete equipment failure, and mitigate losses from unplanned shutdowns and production shortfalls.

2. AI‑powered precise spectrum diagnostics reduce unnecessary disassembly and inspection.

By leveraging vibration spectrum features, it automatically identifies fault types and directly pinpoints the direction of blade imbalance caused by material buildup, eliminating the need for indiscriminate disassembly and troubleshooting and thereby reducing labor‑intensive maintenance costs.

3. Establish a closed-loop system encompassing early warning, diagnosis, response, and verification to safeguard environmental protection red lines.

From anomaly alerts and fault analysis to on-site maintenance and post-repair performance verification, a complete closed-loop process is established, ensuring stable turbine operating conditions, eliminating the risk of excessive dust emissions, and safeguarding the enterprise’s environmentally compliant production.

Zhongyun Technology continues to deepen its expertise in intelligent operations and maintenance for industrial equipment, constantly refining its AI‑based fault‑diagnosis algorithms and upgrading high‑precision sensing and data‑acquisition technologies. It delivers an integrated O&M solution—featuring early warning, precise fault localization, rapid response, and long‑term stability control—for energy‑intensive industries such as manufacturing and cement, helping enterprises digitize equipment management, intelligently inform maintenance decisions, and simultaneously reduce costs while boosting efficiency.