Vibration Monitoring Application

Background 

Industrial facilities have hundreds of critical rotating assets, such as motors, pumps, gearboxes, and compressors. Unexpected failures result in costly downtime. An equipment health monitoring (EHM) preventative maintenance solution uses machine learning to identify when assets exceed pre-defined parameters. 

Value 

• Increased Uptime – Eliminate unplanned shut-downs by continuously monitoring up to 40 assets with a single system 

• Reduced Maintenance Cost – Repair prior to failure or extensive collateral damage 

• Effective Maintenance/Parts Scheduling – Spare parts and labor planning 

• Ease of Use – Reduce installation costs and eliminate the complexity of traditional data analysis 

• Improved Asset Selection – Use data to assist in root cause and reliability analysis 

• IIoT – Real-time alerts for better decision making and remote asset management

Banner Solution 

Monitors for changes in vibration of rotating assets that are the result of: 

• Imbalanced/misaligned components 

• Loose or worn components 

• Improperly driven or mounted components 

• Over-temperature condition 

• Early bearing failure 

How Banner Solves 

• Banner’s Wireless vibration/temperature sensor continually monitors RMS velocity (10-1000 Hz), RMS high-frequency acceleration (1000-4000 Hz), and temperature on rotating equipment, but uses vibration data only when the asset is operational. 

• DXM Controller uses a machine learning algorithm to baseline values and set control limits for alerts with limited end-user interaction. Creates a “check engine light” for each motor! 

• DXM Controller collects data for trending and analysis. The script defines acute versus chronic issues. 

• Data and alerts can be sent to the host controller or to the cloud for IIoT connectivity.