Case Study | When Fan Vibration Suddenly Spikes, How Can You Proactively Prevent Environmental‑Compliance‑Related Production Shutdowns?

In cement production lines, the dust collector’s exhaust fan serves as a critical safeguard for meeting environmental standards. Internal issues such as bearing wear and foundation loosening are highly concealed, making early detection difficult through manual inspections: at best, this leads to persistent severe vibration and deteriorating operating conditions; at worst, it can cause bearing seizure and shutdown, resulting in excessive emissions and exposing the enterprise to both production‑halt losses and environmental penalties.

Recently, the Zhongyun Technology Intelligent O&M platform successfully issued a typical real-world early warning, proactively identifying an issue with the dust-collection exhaust fan at a large cement plant. Bearing wear + motor foundation loosening Complex faults are addressed through on-site, one‑time repairs that eliminate potential hazards, thereby preventing unexpected equipment failures throughout the entire process.

1. Multi-point synchronous trigger alerts, with one-click localization of abnormal lesions.

In May 2026, the platform continuously collected equipment vibration data around the clock. At two critical measurement points, abnormal fluctuations occurred simultaneously: the peak vibration acceleration at the fan blade tip exceeded 12 m/s², triggering a trend‑threshold alarm; and the maximum vibration velocity at the motor drive end surpassed 10 mm/s, meeting the fixed alarm threshold.

The system automatically generates alert tickets and pushes them to the operations team, clearly indicating threshold‑exceeding values, alert levels, and the start and end times of the incident, thereby eliminating the need for manual, device‑by‑device troubleshooting and enabling rapid identification of the fault’s scope.

II. In-depth spectral decomposition analysis for precise identification of dual‑repetition composite hazards

Upon receiving the alert ticket, Zhongyun’s diagnostic engineers retrieved the full‑cycle vibration trend curves and conducted a comprehensive analysis integrating rotational speed, operating conditions, and historical data. The curves simultaneously revealed both bearing wear–related spectral features and low‑frequency vibration signals indicative of foundation loosening, leading to the conclusion that the equipment is experiencing two concurrent faults: severe bearing wear in the fan and loosening of the motor’s mechanical foundation. They also provided a coordinated maintenance recommendation to prevent secondary production shutdowns caused by staggered outages.

III. Scheduled Outages and Comprehensive Overhauls: Eliminating Two Types of Faults in a Single Operation

On May 25, the enterprise scheduled a planned shutdown for disassembly in accordance with the diagnostic protocol, and the dismantling results were fully consistent with the platform’s diagnostic conclusions. Simultaneously, the maintenance team completed two tasks—replacing the fan bearings and reinforcing the motor foundation—thereby resolving both issues in a single outage and significantly reducing the duration of the shutdown.

IV. Post-maintenance verification through actual data measurement; equipment operation has returned to a stable state.

Following the equipment’s restart and commissioning, the platform has continuously tracked and monitored the data, with tangible improvements clearly evident: the vibration acceleration at the blade tip has stabilized below 4 m/s², while the vibration velocity at the motor drive end has been reduced to under 2 mm/s. Vibration levels have dropped significantly, the dust-collection system maintains stable negative pressure, and exhaust emissions consistently meet regulatory standards.

V. Post-Event Review: The Three Core Implementation Values of an Intelligent Operations and Maintenance Platform

This closed-loop handling of a composite fault fully demonstrates the management advantages of predictive maintenance for environmental protection equipment in the building materials industry:

1. Comprehensive multi-point monitoring across the entire area, eliminating blind spots in manual inspections.  

Vibration and temperature data are simultaneously collected at both the fan and motor ends, enabling real-time detection of various fault signatures—such as wear, looseness, and impeller imbalance—thereby addressing the limitations of manual inspections.

2. AI‑driven hierarchical precision diagnostics ensure maintenance plans are tailored to the specific issue.  

The algorithm can distinguish between single faults and compound faults, accurately pinpoint the root cause, and propose actionable maintenance plans, thereby reducing unnecessary disassembly and the losses associated with repeated outages.

3. End-to-end closed-loop management to uphold the environmental protection baseline in production.  

Establish a comprehensive operations and maintenance workflow encompassing “real-time monitoring — anomaly alerting — intelligent diagnostics — planned maintenance — performance verification,” proactively mitigating the risk of unexpected outages, ensuring the continuous and stable operation of environmental protection equipment, and avoiding regulatory penalties.

Green production and stable operations are essential requirements for the development of building materials enterprises.

Zhongyun Technology has established a strong foothold in the intelligent operations and maintenance sector of the cement and building materials industries. Leveraging big data on equipment vibration, it provides proactive fault‑prediction services for heavy‑duty critical equipment such as dust‑collection fans, vertical mills, and roller presses, helping factories shift from “post‑incident emergency repairs” to “proactive predictive maintenance” and delivering triple benefits: cost reduction, efficiency gains, and regulatory compliance.

Do the fans at your plant frequently experience abnormal vibrations or hidden faults? Feel free to share your operations and maintenance pain points in the comments, and you can claim a complete set of smart fan‑diagnosis resources via our backend! If you find this content helpful, don’t forget to like and tap “Watch”~