This allows maintenance teams to quickly assess the situ- ation and mobilise appropriate resources without delay. In many cases, these alerts have enabled timely interventions that prevented costly downtime and ensured operational continuity. Beyond alerting, architecture supports scalability and modular expansion. Additional sensors and gateways can be integrated with minimal configuration changes, allowing the system to grow alongside operational needs. The wire- less nature of the sensors eliminates the need for extensive cabling, reducing installation time and cost while offering flexibility in sensor placement, even in hard-to-reach or hazardous areas. Moreover, the architecture is designed with cybersecu- rity best practices in mind. Network segmentation, DMZ isolation, and tag validation collectively ensure that the system remains resilient against unauthorised access and data manipulation. This is particularly important in refinery environments, where operational integrity and safety are paramount. In conclusion, the system architecture not only facilitates real-time monitoring and proactive maintenance but also embodies a thoughtful integration of field expertise, secure data handling, and intelligent alerting. By transforming raw vibration data into actionable insights, the platform empowers maintenance teams to make informed decisions, optimise resource allocation, and uphold equipment relia- bility across the refinery. Field implementation and observations During the initial deployment phase, the wireless vibration monitoring system was actively implemented across mul- tiple tank mixer motors situated in different process units within the refinery (see Figure 1) . This phase lasted for approximately two months and served as a critical valida- tion period for assessing the system’s performance under real operating conditions. The deployment was carefully planned to include a diverse range of mixer types and oper- ational loads, ensuring system evaluation under varying mechanical stress levels and environmental conditions. During this period, sensors continuously transmitted vibration velocity and temperature data analysed in real time via dashboards and historical trend views. The sys- tem’s ability to detect anomalies early was demonstrated through three distinct cases, each highlighting a different type of mechanical issue and the corresponding mainte- nance response. These cases were documented in detail and reviewed by cross-functional teams, including reliabil- ity engineers, operations managers, and IT specialists, to validate system accuracy and responsiveness. In the first case, the system detected elevated high- frequency vibration signals that were indicative of incipient bearing degradation. These signals were flagged within the warning range, prompting maintenance personnel to inves- tigate the equipment. Upon inspection, early-stage wear was confirmed, and the affected bearings were replaced during a scheduled downtime window. This proactive inter- vention prevented a potential unplanned shutdown and preserved production continuity. Additionally, the incident
Wireless HART gateway
DMZ OPC server
DCS
OPC
Tank mixer
Process historian
provided valuable insight into the early indicators of bear- ing fatigue, which were later used to refine alert thresholds. Alerting mechanisms The second case involved a gradual increase in vibration amplitude coupled with abnormal noise patterns. These symptoms were traced to a mechanical misalignment caused by a suspension imbalance in the mixer assembly. Left unresolved, this condition could have led to accelerated wear in the belt-pulley system and misalignment in shaft bearings, potentially resulting in a cascade of mechanical failures across connected components (see Figure 2 ). The system’s alerting mechanism triggered a warn- ing-level email, prompting a field inspection. Maintenance teams performed a mechanical realignment, restoring optimal operating conditions and preventing further deg- radation. The event also highlighted the importance of correlating vibration data with acoustic signatures for more accurate diagnostics and long-term reliability tracking. The third and most critical case was characterised by vibration readings that exceeded the predefined critical alarm threshold. The system flagged this as an emergency, triggering immediate alerts to the maintenance team. Upon investigation, the root cause was identified as shaft deflec - tion beyond operational tolerance, posing a serious safety risk. The mixer was promptly de-energised and taken offline, and the associated tank was placed into planned mainte- nance mode. The equipment was inspected, serviced, and returned to operation only after confirming structural integ - rity. This case underscored the value of automated alerts in preventing catastrophic failures and ensuring personnel safety. These cases collectively demonstrate the system’s effectiveness in identifying mechanical issues at various stages of severity. The integration of maintenance-defined Figure 1 IoT-based wireless vibration monitoring on tank mixers
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PTQ Q1 2026
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