CTC and Viking Analytics have announced an integrated plug-and-play solution for wireless vibration monitoring, combining CTC Connect sensors with Viking Analytics’ MultiViz AI platform. The purpose of the solution is to make predictive maintenance easier to implement in industrial environments, without the need for complex integrations, closed systems or lengthy initial setup. CTC Connect с AI платформата MultiViz на Viking Analytics. Целта на решението е да улесни внедряването на предиктивна поддръжка в индустриална среда, без необходимост от сложни интеграции, затворени системи или продължителна първоначална настройка.
The combination of wireless hardware and intelligent analysis software enables maintenance and reliability teams to monitor the condition of critical equipment and receive clearer indications of potential issues. MultiViz uses AI algorithms and vibration data analysis tools to turn monitoring data into practical information about machine condition.
According to Viking Analytics, the platform is designed to support early detection of anomalies, reduce false alarms and help prioritize the assets that require attention. The solution is particularly suitable for companies looking to move from periodic checks to more continuous monitoring of important machinery, without having to build an entirely new data analysis infrastructure.
The practical value of such a system is especially high for rotating machinery and production assets, where early detection of vibration changes can support maintenance planning, reduce unplanned downtime and improve the use of technical teams’ resources. In a published application example, CTC Connect wireless hardware used together with Viking AI software helped detect an issue related to shaft alignment and increased vibration before the problem could lead to more serious consequences.
For SPECTRI, this development is a clear example of the direction in which industrial vibration monitoring is evolving: toward easier-to-implement wireless systems combined with intelligent data analysis. Such solutions are relevant for production facilities, energy sites, pulp and paper plants, mining operations, cement plants and other industrial sites with critical rotating equipment, where machine reliability has a direct impact on safety, productivity and maintenance costs.