Best Condition Monitoring Apps for Android

Tractian is the Industrial Copilot for maintenance and reliability, providing a cutting-edge platform designed to prevent unplanned downtime, boost operational efficiency, and enhance maintenance capacity. Trusted by global brands such as Bosch, Kraft Heinz, Carrier, Hyundai, Johnson Controls, and P&G, Tractian combines condition monitoring, energy efficiency, and a CMMS into a comprehensive, mobile-first solution. With Tractian, you can: Monitor real-time vibration, temperature, runtime, and RPM across critical assets Get real-time alerts and detailed diagnostics to address potential issues before they lead to failures Digitize workflows for streamlined work order management, planning & scheduling, and materials management Optimize energy consumption for improved sustainability and cost savings

Skysens IoT platform is an application layer with middleware specialized for IoT applications. The platform can work with multiple IoT sources either IP-based or non-IP based such as LPWAN with multiple features such as user management, alarming, reporting, rule management, and many more. With Skysens middleware, the platform can work with existing legacy data sources such as SCADA will full functionality. It has different application modules for smart industry, smart cities, and smart businesses for easy use. Different pre-configured applications such as condition monitoring, indoor and outdoor location tracking, maintenance monitoring, and many more. Device ID-based cross rule function in order to create smart actions depending on the rules with help of bi-directional connectivity of LPWAN networks. API server for connectivity agnostic LPWAN-based application integration with REST APIs. Skysens Mobile app is ready for use on Android and iOS.

Fogwing is the next generation Industrial IoT platform engineered with features to build IoT Solutions for various industrial use cases; from industrial equipment monitoring, asset tracking, equipment condition monitoring to predictive maintenance. Users can build and deploy IoT based automation solutions without deep information technology expertise. The extended data analytics provides data driven analytical processes to predict operational risks and actions at lower TCO!

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.