Case Study | Proactive Early Warning of Bearing Wear: Scheduled Maintenance for Bucket Elevators Prevents Downtime Incidents

In cement production material‑handling systems, bucket elevators are critical equipment for ensuring vertical material conveyance, and the condition of the head pulley bearing directly affects the system’s reliability. Once bearing wear occurs, it initially manifests as a gradual increase in acceleration; if left unchecked, this can lead to bearing overheating, rolling element damage, or even seizure of the head pulley, resulting in sudden elevator shutdowns and material blockages that severely disrupt continuous production line operation.

Recently, a major cement company’s bucket elevator, leveraging the Zhongyun Technology intelligent operations and maintenance platform, detected early-stage wear in the head‑drive end bearing. By scheduling a preventive overhaul to replace the bearing, the company averted an unexpected shutdown that could have disrupted material handling.

1. Acceleration has increased abnormally, and the platform immediately issued an alert.

In September 2026, the platform detected that the vibration acceleration at the drive end of the hoist’s head sheave increased from 0.3 m/s² to 3 m/s², triggering a fixed‑threshold alarm. The system automatically pushed the alert to operations and maintenance personnel, clearly indicating the fault location, alarm severity, and occurrence time, thereby pinpointing the target for on-site troubleshooting.

II. Data-Driven Precision Diagnostics to Identify Bearing Wear

Upon receiving the alarm, the Zhongyun Diagnostics team conducted an analysis combining the equipment’s rated speed and structural parameters. The waveform revealed periodic impact vibrations, and the spectrum showed a noticeable increase in background noise. Based on this comprehensive assessment, they concluded that the bearing at the head‑wheel drive end exhibits a significant fault. The platform recommends scheduling a shutdown for inspection at an appropriate time.

III. Planned Shutdown Verification: Vibration Significantly Reduced Following Bearing Replacement

Based on the platform’s recommendations, a shutdown for inspection was scheduled on September 15, during which it was confirmed that the rolling elements of the bearing at the head‑drive end exhibited clear signs of failure, in close agreement with the diagnostic findings.

The maintenance team promptly replaced the bearing. Following the equipment’s restart, monitoring data showed that the vibration acceleration dropped from 3 m/s² to below 1 m/s², restoring stable operation and completely eliminating the potential hazard.

Figure 4: On-site Bearing Failure Feedback Diagram

IV. Lessons from the Case: Intelligent Operations and Maintenance Equip Critical Equipment with an “Early-Warning Radar”

The successful early warning and planned maintenance of the head pulley bearing wear fault on this bucket elevator fully demonstrate the practical value of the online intelligent operations and maintenance platform:

1. Continuous trend monitoring and proactive risk alerts: Issue timely alarms during the slow‑rise phase of acceleration, ensuring sufficient time for planned maintenance and preventing unexpected shutdowns.
2. Data-Driven Precision Diagnostics: Accurately identify bearing fault types, enable on-site troubleshooting, and prevent unnecessary disassembly and inspection.
3. End-to-end closed-loop management: Establish a complete closed-loop process encompassing “alarm notification—fault diagnosis—planned maintenance—repair verification” to ensure the stable operation of the material handling system.

Equipment failures rarely occur suddenly; rather, they result from the gradual accumulation of hidden risks. Zhongyun Technology continues to deepen its expertise in industrial intelligent operations and maintenance, leveraging monitoring data to deliver fault‑early‑warning and diagnostic services for critical equipment in industries such as cement and building materials. This helps enterprises shift from “reactive emergency repairs” to “predictive maintenance,” thereby strengthening their safety‑production safeguards.