Felix

Senseye PdM uses proprietary machine learning algorithms to spot, in advance, assets that are likely to fail. Senseye automatically analyzes your machine performance and predicts when maintenance is needed. Maintenance teams are able to focus on those assets that need the most attention. Lower maintenance costs and improve downtime forecasting accuracy with an easy to implement solution. Senseye PdM is designed to scale and supports any number of connected machines, big or small. Automated condition monitoring insights only highlight the relevant information. Understand how long your machinery is likely to perform and when maintenance is needed. Seamlessly analyze the condition of tens of thousands of assets. Get a clear and continuous indication of assets that require your attention. Senseye guarantees machine downtime reductions for industrial companies.

SmartCBM is Allied Reliability's comprehensive condition-based maintenance solution designed to detect component defects that could lead to unplanned downtime or unnecessary expenditures. By integrating predictive maintenance technologies, process data, statistical process control, data analytics, and specific failure-mode-driven repair recommendations, SmartCBM helps design, implement, execute, and optimize your maintenance strategy, ensuring the uptime and reliability of your equipment. The platform supports various data collection methods, including manual route-based and sensor-based approaches, as well as inline and wireless periodic monitoring, allowing for a holistic and cost-effective solution tailored to each asset. Additionally, SmartCBM offers a suite of proprietary tools for monitoring and reporting on asset conditions, enabling the development of maintenance strategies that mitigate design-failure modes and maximize equipment reliability and availability.