Compare ARGUS Smart Vibration Analyzer vs. Crosser

The ARGUS Tri-axial wireless vibration analyzer introduces a groundbreaking approach to predictive maintenance, simplifying the process of assessing the condition of motors and their associated driven assets, such as pumps, fans, and compressors. This innovative tool facilitates effective condition monitoring of rotary machines, enabling the early detection of faults, which helps prevent potential equipment failures. By using ARGUS, organizations can significantly lower maintenance expenses while extending the longevity of their assets. Equipped with a super-compact, IP65-rated vibration sensor, this device ensures reliable data collection for ongoing monitoring and remote diagnostics. The versatile sensor can measure vibrations in three directions simultaneously, functioning as both a Single-axial and Tri-axial sensor. Users can access the dedicated ARGUS app to view and save various metrics, including RMS values of Velocity and Acceleration, Time waveforms, and FFT spectrums for both Velocity and Acceleration directly on their smartphones. Additionally, ARGUS can be easily mounted in various environments through the use of magnets, adhesives, or studs, making it adaptable to a wide range of applications. This versatility enhances its usability across diverse industrial settings, ultimately contributing to improved operational efficiency.

Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.