Multisensor Device

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 The Asystom Sentinel calculates the root mean square (RMS) value of the vibration signals, which provides a measure of the overall vibration amplitude. RMS values are useful for determining the general condition of the equipment and can be compared against predefined thresholds or historical data to identify potential issues. 

 The Asystom Sentinel uses techniques like Fast Fourier Transform (FFT) and ZoomFFT to transform the time-domain vibration data into the frequency domain. This enables the identification of specific frequency components associated with various failure modes, such as bearing defects, gear mesh issues, or electrical faults. By monitoring these specific frequencies, maintenance professionals can pinpoint the root cause of a problem and take targeted corrective actions. 

The device captures acceleration data in three axes (X, Y, and Z) to provide a comprehensive view of the vibration behavior of the equipment. By analyzing the acceleration data, the system can detect changes in equipment performance and diagnose issues such as unbalance, misalignment, and looseness. 

 The Asystom Sentinel's ultrasound sensor captures airborne ultrasound signals, which can be used to detect issues such as leaks in pressurized systems (e.g., compressed air or gas systems), electrical discharge in switchgear, or faulty steam traps. By monitoring the amplitude and frequency of the ultrasound signals, the system can identify the location and severity of the issue. 

 The Asystom Sentinel also performs time series analysis on the captured ultrasound signals, which involves evaluating the variation of signal amplitude over time. This analysis can help identify transient events or intermittent issues that may not be evident in frequency domain analysis. For example, it can detect sporadic impacts in a bearing, which could indicate the presence of contaminants or the early stages of fatigue-related damage. By monitoring the time series data, maintenance professionals can gain additional insights into the health of equipment components and more effectively identify and address potential issues. 

The device also measures structure-borne ultrasound signals, which propagate through solid materials. This enables the detection of issues like lubrication problems in bearings, cavitation in pumps, or gear damage. By analyzing the ultrasound signals, the system can determine the severity of the issue and recommend appropriate maintenance actions. 

The Asystom Sentinel's multisensor capabilities enable early detection of potential issues, allowing maintenance teams to address problems before they escalate into costly failures. This improves the overall efficiency and reliability of the equipment. 

By identifying and addressing potential problems early on, the Asystom Sentinel can help extend the lifespan of machinery and equipment, leading to significant long-term cost savings. 

The ability to remotely monitor equipment performance simplifies maintenance workflows, allowing engineers to prioritize tasks more effectively and allocate resources more efficiently. 

 With real-time monitoring and early detection of issues, the Asystom Sentinel helps minimize unplanned downtime, increasing overall productivity and reducing the costs associated with equipment failures. 

Continuous monitoring of equipment health can help prevent accidents and hazardous situations, ensuring a safer working environment for maintenance personnel and other staff. 

We are here to support you to take the next step in your Predictive Maintenance journey.