
PGSO Sync vibration sensors monitor the condition of rotating plant continuously, so a developing fault becomes visible weeks before it causes a failure.
Sensors mount magnetically to the asset and measure vibration and temperature. They connect over Bluetooth to a gateway fitted nearby, and the data passes to a cloud dashboard. Nothing is drilled, wired or taken offline to install them, which means monitoring can be added to plant that is already running in an occupied building.
Continuous measurement identifies bearing wear, shaft misalignment, cavitation in pumps, lubrication problems and rising running temperature. Each of these develops gradually, and each is a planned repair if caught early rather than an emergency callout and a replacement.
Typical applications include primary pumps, air handling units, chillers, fans and lift motor rooms, along with any asset a condition survey has already flagged as approaching the end of its life.
which is a key aspect of effective predictive maintenance.
which is a key aspect of effective predictive maintenance.
Implementing vibration analysis as a key component of predictive maintenance strategies 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 facilitates early detection of mechanical issues—such as looseness, imbalance, or bearing faults—before they escalate into major failures. This predictive maintenance 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, the root causes can be addressed before they lead to significant damage. This proactive management 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 serves as 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 effectively scheduled based on the actual condition of equipment 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 provides the data needed to justify investments in reliability, improving the overall return on investment for maintenance programmes.
In summary, incorporating vibration analysis in predictive maintenance transforms maintenance from a reactive to a proactive discipline, empowering organisations to make informed decisions, enhance operational efficiency, and safeguard business continuity.

We help businesses transform their industrial operations and enhance customer experiences through digital technologies. From strategy to implementation, we provide end-to-end solutions that incorporate predictive maintenance and vibration analysis, unlocking new opportunities and driving growth.

Mobile is the future of computing, and we're experts in building beautiful and functional mobile apps that can enhance industrial operations. Whether you need a native app for iOS or Android, or a cross-platform solution that implements predictive maintenance and vibration analysis, we can help.

Migrating to the cloud can be a daunting task, especially for businesses looking to streamline their industrial operations. However, it doesn't have to be overwhelming. We assist companies in moving their applications and data to the cloud while effectively managing their cloud infrastructure. This approach not only enables optimal performance but also supports initiatives like predictive maintenance and vibration analysis for enhanced efficiency and significant cost savings.

which is a key aspect of effective predictive maintenance.

which is a key aspect of effective predictive maintenance.

Every sensor in our range provides crucial readings for industrial operations, enabling simultaneous triaxial measurement within a frequency range of up to 2.5 kHz. This data plays a vital role in predictive maintenance and effective vibration analysis.

The Green Sensors deliver essential temperature, triaxial, and spectral readings (up to 2.5kHz), making them invaluable for industrial operations, predictive maintenance, and vibration analysis.

The Blue Sensors provide temperature, triaxial, and spectral readings (up to 13kHz), making them essential for industrial operations that require accurate vibration analysis and enable effective predictive maintenance.
which is a key aspect of effective predictive maintenance.
which is a key aspect of effective predictive maintenance.














We help businesses transform their industrial operations and enhance customer experiences through digital technologies. From strategy to implementation, we provide end-to-end solutions that incorporate predictive maintenance and vibration analysis, unlocking new opportunities and driving growth.

Mobile is the future of computing, and we're experts in building beautiful and functional mobile apps that can enhance industrial operations. Whether you need a native app for iOS or Android, or a cross-platform solution that implements predictive maintenance and vibration analysis, we can help.

Migrating to the cloud can be a daunting task, especially for businesses looking to streamline their industrial operations. However, it doesn't have to be overwhelming. We assist companies in moving their applications and data to the cloud while effectively managing their cloud infrastructure. This approach not only enables optimal performance but also supports initiatives like predictive maintenance and vibration analysis for enhanced efficiency and significant cost savings.

We offer a range of cybersecurity services to protect your industrial operations from cyber threats. Our services include vulnerability assessments, penetration testing, and threat intelligence, which are crucial for ensuring the safety of systems related to predictive maintenance and vibration analysis.

Monitor the hours run of each asset using vibration analysis. In industrial operations where you have two or more assets working on the same system, this approach helps to determine if usage is equal across the set. It reveals whether one asset is shouldering the majority of the workload, which increases its likelihood of requiring repairs or failing sooner than the others. This insight is critical for effective predictive maintenance.

The above graph is known as a waterfall graph. It displays approximately 20 data readings from a single sensor over time, making it especially useful for monitoring predictive maintenance tasks, such as greasing, both before and after the work is done. This kind of analysis is vital in industrial operations and can be effectively supported by vibration analysis.
We help businesses transform their industrial operations and enhance customer experiences through digital technologies. From strategy to implementation, we provide end-to-end solutions that incorporate predictive maintenance and vibration analysis, unlocking new opportunities and driving growth.
Mobile is the future of computing, and we're experts in building beautiful and functional mobile apps that can enhance industrial operations. Whether you need a native app for iOS or Android, or a cross-platform solution that implements predictive maintenance and vibration analysis, we can help.
Migrating to the cloud can be a daunting task, especially for businesses looking to streamline their industrial operations. However, it doesn't have to be overwhelming. We assist companies in moving their applications and data to the cloud while effectively managing their cloud infrastructure. This approach not only enables optimal performance but also supports initiatives like predictive maintenance and vibration analysis for enhanced efficiency and significant cost savings.
We offer a range of cybersecurity services to protect your industrial operations from cyber threats. Our services include vulnerability assessments, penetration testing, and threat intelligence, which are crucial for ensuring the safety of systems related to predictive maintenance and vibration analysis.

We help businesses transform their industrial operations and enhance customer experiences through digital technologies. From strategy to implementation, we provide end-to-end solutions that incorporate predictive maintenance and vibration analysis, unlocking new opportunities and driving growth.

Mobile is the future of computing, and we're experts in building beautiful and functional mobile apps that can enhance industrial operations. Whether you need a native app for iOS or Android, or a cross-platform solution that implements predictive maintenance and vibration analysis, we can help.
Implementing vibration analysis as a key component of predictive maintenance strategies 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 facilitates early detection of mechanical issues—such as looseness, imbalance, or bearing faults—before they escalate into major failures. This predictive maintenance 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, the root causes can be addressed before they lead to significant damage. This proactive management 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 serves as 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 effectively scheduled based on the actual condition of equipment 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 provides the data needed to justify investments in reliability, improving the overall return on investment for maintenance programmes.
In summary, incorporating vibration analysis in predictive maintenance transforms maintenance from a reactive to a proactive discipline, empowering organisations to make informed decisions, enhance operational efficiency, and safeguard business continuity.