Vibration monitoring is one of the most reliable indicators for assessing the physical and functional condition of industrial equipment. It enables the detection of wear, imbalance or mechanical anomalies before they lead to failure.
However, its value goes beyond maintenance. By analyzing drifts and machine stops, vibration monitoring directly contributes to a better understanding of production losses and to improving industrial performance.
It therefore provides essential data to make the analysis of OEE (Overall Equipment Effectiveness) more reliable and to identify optimization levers.
Anticipate failures and improve equipment reliability
Worn bearings, shaft misalignment, pump cavitation, loose fixings: each mechanical anomaly generates a specific vibration signature.
These signals appear well before a failure occurs. Detecting them early makes it possible to intervene at the right time, avoid unplanned downtime and reduce maintenance costs.
More broadly, this data also helps better qualify machine stops and understand their impact on actual performance.
Challenges in industrial maintenance
In many industrial environments, maintenance remains largely reactive. Teams intervene after a failure has occurred, often under time pressure, with a direct impact on production.
Several challenges explain this situation.
Late detection of anomalies is one of the main limitations. Without dedicated sensors, issues are only identified through noise, temperature… or when a failure occurs.
Unplanned downtime also represents a significant cost. A mechanical failure can stop a production line, disrupt planning and lead to emergency interventions.
Finally, monitoring isolated equipment remains complex. Machines located in remote areas or lacking instrumentation are often outside the scope of traditional supervision systems.
In this context, having access to reliable and continuous data becomes essential to move from reactive to controlled maintenance.
Ineo‑Sense's solution : the ACS‑Switch® IoT sensor
The ACS-Switch® IoT sensor can be mounted magnetically or screwed onto a machine structure. Fully autonomous, it records vibrations, shocks and tilt, and transmits long-range radio alerts as soon as predefined thresholds are exceeded.
Its deployment requires no modification to existing systems. It enables rapid access to actionable data, directly at the equipment level.
How it works
Wireless and non-intrusive installation No production downtime: place the sensor, set thresholds in the app, and monitoring begins.
Continuous vibration measurement RMS values and peak levels are compared against a reference baseline. Any abnormal drift or shock triggers an instant alert. This data also makes it possible to better qualify machine downtime and improve the analysis of availability losses, particularly in the calculation of OEE.
Cycle and utilization rate analysis The ACS-Switch® distinguishes between active phases and downtime, providing a valuable indicator for OEE (Overall Equipment Effectiveness). It offers a clear view of actual equipment performance and helps identify the losses that directly impact industrial performance.
Preventive and predictive maintenance Early alerts give you time to plan interventions, optimize spare parts, and avoid emergency repairs.
Key functions of the ACS-Switch® IoT sensor
The ACS-Switch® integrates a set of features designed to meet industrial requirements.
It detects vibrations and shocks across three axes, providing a detailed view of equipment behavior.
Thresholds are configurable, and alerts are transmitted instantly via LoRaWAN or Clover-Net®, ensuring responsiveness in operational environments.
Tilt measurement allows monitoring of safety positions and detection of misalignment.
The sensor offers several years of battery life and is housed in an enclosure suitable for industrial environments.
Finally, a REST API enables integration with existing systems such as CMMS or MES, supporting broader performance management initiatives.
Operational benefits
Vibration monitoring delivers tangible benefits across multiple levels of the organization.
Reducing unplanned downtime is one of the most immediate impacts. By detecting anomalies early, maintenance can be scheduled before failures occur, smoothing operations.
Equipment lifespan is also extended. Early detection of wear enables better adjustments and limits long-term degradation.
Technical teams gain efficiency. They can focus on truly critical equipment and reduce unnecessary routine checks.
Finally, vibration monitoring directly contributes to improving OEE and ESG indicators. By reducing downtime, performance losses and defects, it helps improve production control, stabilize energy consumption and reduce environmental impact.
Beyond vibration monitoring : towards a global performance approach
By combining the ACS-Switch® with the ESG-Logger®, which measures energy or compressed air consumption, it becomes possible to gain a comprehensive view of equipment behavior: vibrations, energy and operating cycles.
This combination of data provides deeper insight into the interactions between mechanical phenomena, operating conditions and overall performance.
DV Group optimizes energy performance at industrial sites using connected sensors. Consumption is monitored in real time, anomalies are detected, and the resulting savings enhance both profitability and CSR initiatives.
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