Case Study | Real-World High-Voltage Motor Fault Early Warning: Preventing Unplanned Shutdowns of Chemical Refrigeration Units

In the chemical manufacturing process, refrigeration compressor units are critical, indispensable equipment; the health of the associated high‑voltage motors directly determines whether the entire refrigeration system can operate reliably and continuously. As a core component of the motor, bearings—when subjected to lubrication failure or cage damage—initially manifest only as vibration and a slight temperature rise, making them easy to overlook on site. If such faults are allowed to persist and worsen, the cage may fracture, rolling elements can seize, and ultimately the motor may lock up, leading to an unexpected shutdown of the entire refrigeration system and substantial production losses for the enterprise.

Recently, a major chemical enterprise leveraged the Zhongyun Technology intelligent operations and maintenance platform to achieve early warning of bearing lubrication issues and cage‑cracking faults in the high‑pressure motor of its compressor unit. By scheduling preventive maintenance, the company mitigated significant equipment risks and safeguarded the continuous production integrity of its plant.

Vibration has increased sharply and abnormally, and the platform immediately issued an alert.

In the early hours of August 12, 2026, online monitoring on the platform detected a rapid and significant increase in vibration levels at the drive-end measurement point of the compressor unit’s high-pressure motor within a short period. The equipment condition continued to deteriorate, triggering multiple trend‑based predictive alarms.

The system automatically pushes alerts to operations and maintenance personnel, clearly indicating the fault location, alarm severity, and occurrence time, enabling on-site troubleshooting to quickly pinpoint the issue—eliminating the need for time‑consuming, needle‑in‑a‑haystack searches across the entire unit.

Retrospective analysis of historical data reveals that as early as June–July, the bearing had already registered early signs of insufficient lubrication. Following on-site replenishment of lubricant, equipment performance temporarily stabilized, but the underlying隐患 remained unresolved. On August 12, the peak acceleration at the drive end surged to 124.78 m/s², and high-frequency noise increased markedly. By integrating vibration trends with spectral analysis, the platform reached the following diagnostic conclusion: Poor bearing lubrication, accompanied by cage‑friction damage; it is recommended to shut down the equipment promptly for inspection and corrective action. 。

Shutdown and disassembly verification show a high degree of consistency between the fault and the platform diagnostics.

The enterprise promptly scheduled a shutdown for maintenance in accordance with the platform’s diagnostic recommendations. Upon disassembling the equipment, the root cause became immediately apparent: the motor‑drive‑end bearing was experiencing severe dry friction, its cage had cracked, and the rolling elements showed significant wear—fully consistent with the platform’s analysis. The entire set of worn bearing components was then replaced on site.

Maintenance completed and equipment put into service; equipment condition has returned to normal.

With the bearing replacement completed, the unit was restarted and returned to service. Real-time monitoring by the intelligent operations and maintenance platform showed that the vibration acceleration and velocity RMS at the drive end had dropped significantly, high-frequency abnormal background noise had disappeared, all key parameters had returned to their normal ranges, and the motor’s operating condition had stabilized.

Case Insights | Intelligent Operations and Maintenance Equips Critical Equipment with “X-ray Vision”

This case of handling a high-voltage motor bearing failure vividly demonstrates the practical value of the online intelligent operations and maintenance platform: ✅ Continuous trend monitoring and proactive risk alerts : It does not overlook early, subtle signs of degradation and continuously monitors the fault‑transition phase, thereby gaining valuable time for planned maintenance and preventing severe, unexpected outages.

✅ Data-Driven Precision Diagnosis : Distinguishing between lubrication failure and cage damage based on their distinct fault signatures, it pinpoints the root cause of the issue, reduces unnecessary disassembly and ineffective repairs, and lowers operation and maintenance costs.

✅ End-to-end closed-loop management and control : Establish a complete closed-loop process—“alarm notification‑fault diagnosis‑on-site maintenance‑repair verification”—to ensure the long-term, stable operation of critical chemical equipment.

Equipment failures rarely occur suddenly; they typically result from the gradual accumulation of hidden risks. Traditional manual inspections struggle to detect early, subtle bearing damage. Zhongyun Technology continues to deepen its expertise in industrial intelligent operations and maintenance, leveraging equipment‑monitoring data to deliver end-to‑end services—including fault early warning and intelligent diagnostics—for critical rotating machinery in industries such as chemical processing and refrigeration. This helps enterprises shift from “reactive emergency repairs” to “predictive maintenance,” strengthening their safety‑production safeguards.

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