Equipment Type
Fan
Equipment Name
Cooling fan
Faults
Rotor misalignment
Early Detection of Cooling Fan Rotor Misalignment
How AI Prevented Unplanned Downtime in a Pharmaceutical Plant
Pharmaceutical
Introduction

In pharmaceutical manufacturing, uptime is not just a KPI—it is a necessity. Unexpected equipment failure can result in production losses, compliance risks, and significant financial impact.
This case study demonstrates how an AI-powered condition monitoring solution detected an early-stage fault in a critical cooling fan system—allowing maintenance teams to take timely action and avoid unplanned downtime.
Equipment Overview
Cooling fans are essential in maintaining stable environmental and process conditions in pharmaceutical plants. Driven by electric motors, these systems regulate airflow and pressure by continuously moving air or gas through the production environment. Any deviation in their mechanical condition can directly affect process stability and operational continuity.
The Challenge
Rotor misalignment can arise from multiple factors, including:
Improper coupling alignment
Shaft deformation or uneven mass distribution
Foundation settlement
Thermal expansion effects
Incorrect bearing installation
Wisper Solution
On October 25, 2024, shortly after system deployment, the AI monitoring platform detected abnormal vibration signals on the motor drive end of a cooling fan.
The anomaly was identified as rotor misalignment—a common yet potentially damaging issue that can lead to:
Excessive vibration and accelerated wear
The outcome
In this case, replacing the coupling effectively resolved the issue and restored proper alignment.
Minimized Downtime
Maintenance was planned and executed before failure occurred. By detecting faults early and enabling data-driven decisions, it significantly reduces risk while improving operational efficiency.
Accurate Fault Diagnosis
The fault diagnosis provided by Wisper was fully consistent with on-site inspection results, confirming the system’s high level of accuracy and dependability. By identifying the issue in advance, Wisper enabled proactive maintenance actions, reducing downtime risk and avoiding potential production losses. This highlights the tangible value of deploying AI-driven condition monitoring in improving operational efficiency and asset reliability
understanding the root cause
Rotor misalignment can arise from multiple factors, including:
Improper coupling alignment
Shaft deformation or uneven mass distribution
Foundation settlement
Thermal expansion effects
Incorrect bearing installation

