Enevo Group - SCADA Systems | Process Automation | Engineering & Design | Dispatch & Telecom | Protection & Control | Machine Condition & Structural Health Monitoring
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Machine Condition & Structural Health Monitoring

Machine condition monitoring can help your organization stop unscheduled outages, optimize machine performance, and reduce repair time and maintenance costs. Using NI solutions, ENEVO provides both online embedded condition-based monitoring systems and more powerful factory test systems.

The system for online condition monitoring acquires and analyzes sensory information, generates alarms, allowing maintenance specialists to visualize and manage data and simplifying deployment of large numbers of monitoring systems. It provides insight into the health of both critical rotating machinery and auxiliary rotating equipment to optimize machine performance, maximize uptime, reduce maintenance costs, and increase safety.

NI hardware and software is being used right now in condition monitoring systems deployed on a variety of turbines, motors, compressors, generators, transformers and any other industrial machines. The systems provides in-depth, interactive visualization and analysis of real-time and historical offline data to maintenance and equipment specialists. Maintenance specialists can explore a variety of industry-standard vibration plots.

Also, it can detect imbalances, bent shafts, misalignments, bearing defects, and other faults in rotating machinery based on the visualization and analysis capabilities offered in this application, and determine actions that need to be taken as part of the diagnosis and maintenance procedure.

Specialists can:

  • Select a server location and navigate the equipment hierarchy
  • View multiple channels or features together
  • Correlate data to faults and events, and save notes to easily recall diagnoses
  • Take snapshots to compare current data to previously recorded data on the same machine
  • Compare suspect health issues on one machine to previous fault signatures from other machines
  • Track historical trends
  • Determine whether harmonics or sidebands are present, and calculate their frequency
  • Listen to time series data which was recorded