Common failures in industrial pumps
- Up to 30% lower maintenance costs
- Predictive maintenance reduces unexpected downtime with 70%
- 20-40% longer life of assets
- Real-time visibility into performance and load



Industrial pumps are indispensable assets in virtually all industrial processes, handling a variety of liquid and semi-liquid substances, including media between a gas and liquid state.
They are used in a variety of industries and applications:
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Pumps are often process critical components that play a direct role in the continuity of industrial production. Should they fail, it can lead to unexpected downtime, damage, quality problems or even safety risks. Thus, such a failure almost always has a direct and often a major impact on production and company performance.

Depending on factors such as application, medium, design, flow, pressure and temperature, failure mechanisms differ. Therefore, based on their physical design and operating principles, they are classified into different categories.
Each pump type has unique physical properties. Parameters such as medium, temperature, pressure and flow influence the most sensitive failure mechanisms. Because of the numerous combinations of these parameters, failure mechanisms usually must be evaluated separately. Below are five common failure mechanisms that occur independent of type:
Cause: long-term loading, contamination or imbalance.
Effect: increased friction, heat generation and eventual failure.
Cause: wear or damage to shaft seals or gaskets.
Effect: fluid loss, corrosion and possible damage to motor or housing.
Cause: vapor bubble formation when suction pressure is too low or pump speed too high.
Effect: implosions inside cause damage to impeller blades or house.
Cause: lack of medium due to supply error or misuse.
Effect: extremely rapid temperature rise and damage to seals and bearings.
Cause: poor foundation, clogged pipes or damaged impeller.
Effect: vibrations that continue throughout the plant, with damage in multiple locations.
Instead of maintaining assets preventively based on time (e.g., every 6 months), states predictive maintenance you are able to perform maintenance based on current condition. Thanks to IoT sensors, you detect abnormalities such as increased vibrations, temperature rise or current changes early - even before a failure becomes visible. By combining and analyzing this data in real time, you can predict failures, plan accordingly and prevent major damage.

| Component | Failure Mode | Indicator / Marker | |||
| Vibration | Temperature | Pressure/vacuum | Amp | ||
| Bearing (Bearing) | Worn bearing | X | X | X | |
| Lubrication problem | X | X | |||
| Misalignment | X | ||||
| Decontamination | X | ||||
| Bearing damage is the leading cause of failures and accounts for 40-50% of all failures | |||||
| Vibration | Temperature | Pressure/vacuum | Amp | ||
| Pump housing | Outer seal | X | |||
| Inner seal | X | X | |||
| Pump housing | X | ||||
| Resonance | X | ||||
| Leaks are the second most common cause of failures and account for 20-25% of incidents | |||||
| Vibration | Temperature | Pressure/vacuum | Amp | ||
| Pump Performance | Cavitation | X | X | X | |
| Blockage (Blockage) | X | X | X | X | |
| Reduced performance | X | X | |||
| Dry run | X | X | X | X | |
| Unstable pressure | X | X | |||
| Cavitation is responsible for 10-15% of failures | |||||
| Vibration | Temperature | Pressure/vacuum | Amp | ||
| Impeller (impeller) | Cavitation | X | X | ||
| Erosion | X | ||||
| Corrosion | X | ||||
| Damaged coating | X | X | X | ||
| Imbalance | X | ||||
| Damage to the impeller: 5-10% from the failures | |||||
| Vibration | Temperature | Pressure/vacuum | Amp | ||
| Drive motor | Overload | X | X | ||
| Electrical failure | X | ||||
| Mechanical failure | X | ||||
| Imbalance/alignment | X | ||||
| Motor failures or power supply problems are responsible for 5-10% of the failures | |||||
| Vibration | Temperature | Pressure/vacuum | Amp | ||
| Shaft (shaft) | Curved shaft | X | |||
| Misaligned axle | X | ||||
| 5-8% of failures are due to misalignment between the motor and pump | |||||
| Vibration | Temperature | Pressure/vacuum | Amp | ||
| Foundation | Loose foundation | X | |||
| Defective muffler | X | ||||
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By combining and analyzing this data in real time, you can predict failures, plan accordingly and prevent major damage.
Sensor Partners helps companies monitor their facilities smartly and wirelessly. With our predictive maintenance solution you get continuous insight into the state of your pumps, without complicated wiring or expensive installations.
Yes, using smart IoT sensors you can detect these failures early.
A proactive predictive maintenance system continuously monitors the condition of pumps via sensors. Instead of maintenance at fixed times, action is taken as soon as abnormalities are detected. This prevents failures before they occur, leading to less downtime and lower costs.
