In-time Monitoring & Analysis
The Industrial Internet of Things (IIoT) has sparked the development of smart technologies that has set the stage for the digitalisation and enhancement of condition monitoring tools and practices.
Reliability and maintenance engineers can now have access to visualised real time data dashboards which provide them with information about an asset’s health status and its associated risk levels. Martec’s In-time monitoring solution uses engineered algorithms for predictive analytics which does not only give reliability engineers a better sense of the overall status of equipment reliability, but it also enables them to make better decisions to increase equipment reliability and overall plant integrity.
Martec’s In-time monitoring and analysis service enables both local and remote monitoring and support for industrial plants. Access to asset data is enhanced with in-depth analysis and expert advise on corrective actions to maintain uptime and increase equipment longevity.
Included in the service
The development of digital twins with the visualisation of the asset’s condition and its associated process parameters.
The development of algorithms based on engineering fundamentals for specific assets and incorporating condition monitoring technologies for deeper insight of the assets’ reliability.
Utilising customised dashboards, trends and data sets from the in-time monitoring system to enable more informed decision making, and influencing strategies in attaining a reliable and sustainable operation.
Subject Matter Experts
A team of mechanical and electrical experts develop automated diagnosis and prognosis tools, and perform further analysis upon thresholds or alarms being triggered.
Competent technicians provide further on-site maintenance, inspections and testing, should anomalies be detected by the in-time monitoring systems. Repair work is carried out, adhering to quality control procedures.
The in-time monitoring system is flexible and able to integrate with a maintenance management system, enabling automated maintenance scheduling.
Contact the specialists
Asset Reliability Executive