Vibration Sensors

What are the benefits of vibration analysis?

Implementing vibration analysis as a predictive maintenance strategy delivers substantial advantages for industrial operations, particularly those reliant on rotating machinery such as pumps, motors, and other critical assets.

The key benefits include:

Reduction of Unplanned Downtime:
Vibration analysis enables early detection of mechanical issues—such as looseness, imbalance, or bearing faults—before they escalate into major failures. This proactive approach helps maintenance teams prevent unexpected shutdowns, minimising production losses, costly repairs, and operational disruptions.

Extended Asset Lifespan:
By identifying abnormal conditions at an early stage, root causes can be addressed before they result in significant damage. This reduces premature wear, extends the service life of equipment, and optimises the use of spare parts, ultimately lowering the frequency and cost of maintenance cycles.

Data-Driven Decision Making:
Vibration analysis provides a robust technical foundation for maintenance decisions, using frequency spectra, trend graphs, and historical failure data. This evidence-based approach eliminates guesswork, supports the prioritisation of interventions, and guides investments in reliability and asset management.

Optimised Maintenance Windows:
Maintenance activities can be scheduled based on actual equipment condition rather than fixed calendars. This alignment reduces Mean Time to Repair (MTTR), increases Mean Time Between Failures (MTBF), and improves the allocation of technical resources across the plant.

Cost Reduction and Increased ROI:
Preventing severe failures and optimising maintenance interventions directly lowers operational costs. Vibration analysis also justifies investments in reliability with concrete data, improving the overall return on investment for maintenance programmes.

In summary, vibration analysis transforms maintenance from a reactive to a proactive discipline, empowering organisations to make informed decisions, enhance operational efficiency, and safeguard business continuity.

Types of assets you can use PGSO Sync+ Vibration sensors on

Pumps

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Dashboard

Management Indicators

The management dashboard

Site Setup

No matter how complex you portfolio is we can create a site structure within the dashboard to match your property portfolio. Single site with 1 plant room to multiple sites with multiple plant rooms in each site. This helps you to visualise you site and navigate easily around it.

Sensor Level View

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Asset Level View

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Hours Run

Monitor using the vibration the hours run of each asset. If you have 2 of more of an asset working on the same system you can use this to see if you are getting equal usage across the set. Or is one asset picking up the majority of the work. And there for that asset will more likely fail or need repairs before the others.

In depth Graphs

The above graph is called a water fall graph. It shows approx 20 data readings from the same sensor over time. This is particularly useful when monitoring maintenance tasks such as greasing for before and after.

Data & Reports

Dashboard

We can set up your site and assets to match your site and needs. Each asset will be programmed into the system and parameters based on best practice and ISO standards for vibration will be applied. This will then allow you to monitor the trends and take action when these increase and trigger the alerts.

Connection to the sensor manufacture with asset monitoring

This will require the use of the gateways to push the data out to the cloud so the manufactures data scientists can monitor. This will also require the use of the sensors with the spectral readings. In our experience we recommend the 13kHz sensors to capture the most amount of data.

One off in-depth reports produced by the sensor manufacture

This is normally initiated when the site team notice an issue with an asset or the asset already has sensors connected to it and there is an increasing in the vibration trend.

This requires the sensors with the spectral readings.

This can be done in 1 of 2 ways.

1 - The data is pushed out to the cloud via a gateway and a report is requested on the asset that is in question

2 - We can attend site with the portable sensor and take spectral readings of the asset and then send this to the manufacture to produce the report.

AI fault detection and recommendation system

This requires the use of gateways to push the data out to the cloud. The blue sensor with the 13kHz readings are needed. Also more sensors per asset are needed to gain even more data. This data is then fed through the algorithms and monitored for faults and then recommendations are provided.

These algorithms have been built up over many years and from the data of 500k+ sensors out in the field.

CASE STUDY - Before & After Greasing

1st Client - Good Result

The vibration waterfall graph above has 3 lines of data showing high vibration readings. The pump is then greased and you can clearly see the big reduction in the vibration readings.

2nd Client - Poor Result

This client had did grease their pumps but it was done on an adhoc basis and the time between greasing was far too long. In this graph there are about 7 readings before the greasing and the rest are after. There is not much difference seen. SO there has been some damaged caused to the bearings.

Vibration Sensors

What are the benefits of vibration analysis?