How vibration analysis enabled early detection of developing instability in a 1400 kW industrial blower, helping prevent potential equipment failure and production disruption.
A multistage centrifugal blower operating in a paper manufacturing facility showed a gradual increase in vibration levels during routine condition monitoring.
Although the overall vibration levels had not yet reached alarm thresholds, the vibration trend indicated a developing condition requiring detailed analysis. Because the blower plays a critical role in supporting plant operations, any failure could lead to significant production disruption and costly downtime.
To investigate the issue further, engineers performed vibration measurements using the ARGUS portable vibration monitoring system.
The monitored equipment was a multistage centrifugal blower used in a continuous industrial process.
Key operating parameters:
The machine operates with journal bearings and is connected to a gearbox. Due to the high power rating and continuous operation of the equipment, early detection of abnormal vibration conditions is essential for maintaining reliability.
During inspection, vibration measurements were collected at the blower bearing housings using the ARGUS portable vibration monitoring system.
Figure 1 — ARGUS vibration sensor deployed on blower bearing housing
Spectral analysis of the vibration signals revealed two distinct patterns:
These spectral characteristics suggested the presence of both rotor dynamic instability and mechanical looseness.
The vibration spectrum revealed a prominent sub-synchronous vibration component at approximately: 0.38 × running speed
Running frequency: 91.55 Hz
Observed sub-synchronous component: ≈ 34.8 Hz
Figure 2 — Velocity spectrum showing subsynchronous vibration component
Oil whirl occurs when the hydrodynamic oil film within a journal bearing begins to drive the rotor at a frequency lower than the shaft rotational speed. If left uncorrected, this instability can lead to increasing vibration levels and progressive bearing damage.
In addition to the sub-synchronous vibration component, the spectrum also revealed strong vibration at the shaft rotational frequency.
Key observations included:
These spectral characteristics are commonly associated with mechanical or structural looseness in rotating machinery.
Possible sources include:
Figure 3 — Velocity spectrum showing dominant running-speed vibration
The vibration analysis indicated the presence of two interacting conditions:
These conditions can reinforce each other and lead to increasing vibration amplitudes, accelerated bearing wear, and potential rotor damage if not addressed early.
Failure of a high-power blower can lead to substantial maintenance costs and production losses.
Typical repair activities may include:
Estimated breakdown maintenance cost: ₹20 – ₹40 lakh
Typical repair duration: 3 – 5 days
Estimated production loss during shutdown: ₹2 – ₹3 crore
This case study demonstrates the importance of vibration monitoring and predictive maintenance in industrial rotating equipment. The ARGUS vibration monitoring system enabled engineers to detect developing instability in a large multistage blower before catastrophic failure occurred.