Precise early warning to prevent problems before they escalate: Zhongyun Technology’s intelligent O&M platform successfully resolves fan imbalance faults.

Recently, on a key production line in the painting workshop of a well-known automotive manufacturer, an idling-process fan exhibited abnormal vibration during operation. Thanks to its sensitive data sensing capabilities, the Zhongyun Technology Intelligent Operations and Maintenance Platform accurately detected early signs of fan imbalance. Leveraging intelligent diagnostics and closed-loop management, the platform guided the company to efficiently carry out paint removal and dynamic balancing procedures, successfully transforming a potential unplanned downtime risk into a precise, scheduled maintenance event, thereby ensuring the continuous and stable operation of the painting process.

1. Real-time monitoring: Capturing early signs of fan imbalance

In December 2025, the platform detected that the vibration velocity at the fan end of this equipment continuously exceeded the standard. The system immediately triggered a threshold alarm and simultaneously pushed a diagnostic conclusion indicating “imbalance or foundation loosening.” The alarm information—clearly including the alarmed equipment, its affiliated department, the alarm level, as well as the initial and latest alarm times—was promptly sent to the operations and maintenance team. This enabled early detection of latent faults and provided the operations and maintenance team with clear, timely risk guidance and actionable evidence for addressing these issues.

II. Intelligent Diagnosis and Precise Verification

After receiving the alert, the Zhongyun Diagnostic Team conducted an in-depth analysis of the vibration data, taking into account the equipment’s operating speed (750 r/min). Based on the fan’s operational structure, they determined that the fan exhibited significant imbalance. The platform’s intelligent diagnostic results were highly consistent with those obtained through manual diagnosis. It is recommended to promptly shut down the equipment and inspect the fan blades for any abnormalities; if necessary, perform dynamic balancing correction.

III. Closed-loop Management: Precise Execution from Early Warning to Recovery

1. Planned Shutdown and On-site Verification

On January 11, 2026, the company scheduled a shutdown for maintenance based on the platform’s recommendation. On-site inspection confirmed severe paint buildup on the turbine blades and noticeable imbalance in the rotor shaft—results that were entirely consistent with the platform’s diagnostic conclusions.

2. Professional Repair and Effect Verification

The next day, maintenance personnel immediately carried out a thorough paint removal from the blades and performed dynamic balancing correction on the wind turbine. After the equipment was restarted and put back into operation on January 14, monitoring data showed that the vibration velocity at the turbine end had significantly decreased to below 4 mm/s, the operating curve had stabilized again, and the fault had been completely eliminated.

IV. Core Value: Shift from passive response to proactive management

The successful early warning and handling of this imbalance fault vividly demonstrate the core value of Zhongyun Technology’s intelligent operations and maintenance platform:

1. Break the limitations of routine inspections: Replace manual, periodic inspections with 24-hour real-time monitoring to precisely detect early, hidden faults and achieve “early fault detection.”
2. Reduce operational and maintenance costs: By leveraging data-driven, precise diagnostics, we can avoid unnecessary disassembly and repairs, minimize component wear and tear, extend equipment lifespan, and achieve "low-cost maintenance."
3. Upgrade the management model: Adopt a closed-loop approach of “early warning—diagnosis—intervention—validation” to help enterprises shift from “reactive maintenance” to “predictive maintenance” and accelerate the digital transformation of equipment management in the automotive industry.

Zhongyun Technology will continue to iterate its AI diagnostic algorithms and sensor technologies, providing industrial enterprises with end-to-end intelligent operation and maintenance solutions that offer “precise early warnings, efficient response, and stable assurance,” thereby helping the automotive industry achieve digitalization in equipment management and intelligent decision-making in operations and maintenance.