Case Study | Early Warning of Gear Spalling: A “Digital Sentinel” Ensures Stable Production on the Cement Line

In a cement production line, the apron‑type bucket elevator is the critical backbone for raw material conveyance, while the reducer gearbox serves as the “heart” of the entire system. Should the gears suffer wear or spalling, the consequences range from excessive vibration and a sharp drop in transmission efficiency to, in severe cases, tooth breakage and machine shutdown—bringing the entire production line to a standstill and inflicting substantial economic losses on the enterprise.

Recently, Zhongyun Technology’s intelligent operations and maintenance platform, leveraging 24/7 online monitoring and multi-dimensional intelligent data analytics, detected an early warning of gear spalling in the reducer of a large cement plant’s material‑cake elevator. This enabled the company to carry out planned maintenance, successfully mitigating the risk of unexpected shutdowns and reinforcing the production line’s continuous‑operation resilience.

I. Data anomalies trigger alerts, leaving potential risks with nowhere to hide.

In mid-July 2026, real-time monitoring data on the platform revealed a significant anomaly: the vibration acceleration at the input end of the No. 1 hoist reducer on this production line began to surge, rapidly climbing from a stable operating level of 10 m/s² to 15 m/s²—exceeding the preset safety threshold—and triggering an automatic gear‑wear warning.

Alert information is seamlessly routed directly to the on-site operations team, with clear annotations indicating the faulty equipment, monitoring locations, alarm severity levels, and the time of the anomaly. This eliminates the need for manual, unit-by-unit inspections, enabling rapid identification of the root cause and providing a well-defined roadmap for subsequent troubleshooting.

II. In-depth spectral analysis for precise identification of gear wear issues

Upon receiving an alert from the platform, Zhongyun’s expert diagnostic engineers conducted a detailed spectral analysis, taking into account the equipment’s rated speed and the internal structural parameters of the gearbox. By examining the vibration signature, they identified frequency characteristics unique to gear damage and accurately determined that the intermediate‑shaft and output‑shaft gears of the reducer have suffered severe wear. It is recommended that the enterprise promptly shut down the equipment, disassemble it, and perform a thorough inspection.

Leveraging a big-data diagnostic model, there’s no need for blind disassembly and trial-and-error; the faulty component can be pinpointed directly, significantly reducing on-site troubleshooting efforts.

III. Planned Shutdown Maintenance: Gear Spalling Failure Confirmed

On July 18, the company scheduled a planned shutdown in accordance with the platform’s diagnostic recommendations and conducted a disassembly inspection of the gearbox. Upon opening the housing, the fault became immediately apparent: extensive spalling on the gear tooth surfaces of the intermediate and output shafts, along with severe surface damage—findings that fully corroborated the platform’s diagnostic conclusions. The maintenance team promptly replaced the damaged gears, swiftly completing the equipment repair.

IV. Post-remediation data validation: Equipment operation has returned to stable performance.

On July 19, the hoist, after its gear replacement was completed, was put back into operation. The platform has been continuously tracking and monitoring operational data, making the effectiveness of the corrective measures immediately apparent:

The vibration acceleration at the reducer’s input end has dropped sharply from a fault‑induced peak of 15 m/s² to below 4 m/s², with the vibration waveform returning to a smooth, stable profile, thereby completely eliminating the safety hazard posed by gear spalling.

V. Case Summary

This incident was handled end-to-end—covering early warning, diagnosis, maintenance, and performance verification—in just two days, demonstrating the tangible value that the Zhongyun Intelligent O&M platform delivers to building-materials enterprises.

1. Real-time trend detection and proactive fault alerts As soon as the vibration data in the early stages of equipment degradation begins to show an upward trend, the platform immediately issues an alert, allowing ample time for maintenance and effectively preventing extreme operating conditions such as gear tooth breakage and sudden production shutdowns.
2. Precise spectrum diagnosis, with fault locations clearly identified. Leveraging intelligent vibration spectrum analysis, it accurately distinguishes fault signatures in bearings, gears, and shaft systems, directly pinpoints damaged gears, eliminates unnecessary disassembly and inspection, and reduces labor and maintenance man-hours.
3. End-to-end closed-loop management ensures continuous production line operation. Early‑warning notifications, remote diagnostics, on‑site maintenance, and commissioning verification are integrated into a one‑stop closed-loop management system, minimizing the impact of equipment failures on the raw material conveying process and ensuring stable operation of the entire cement production line.

In the cement and building materials industries, critical equipment such as conveyors, grinders, and kilns operates under heavy loads for extended periods, making it difficult for conventional manual inspections to detect early-stage, latent mechanical damage.

Zhongyun Technology continues to deepen its expertise in the industrial equipment intelligent operations and maintenance sector. Centered on multi-dimensional operational data—such as equipment vibration and temperature—it has developed a full‑lifecycle online monitoring and early‑warning system, providing proactive diagnostics and precision‑driven interventions for critical drive equipment in industrial and mining enterprises. By leveraging digital solutions, it helps reduce unplanned equipment downtime, supporting businesses in achieving safe production, cost reduction, and efficiency gains.