Bently Nevada 60M100-00 Monitor
The Bently Nevada 60M100-00 is a Bentley detector module for vibration monitoring and machinery troubleshooting in industrial equipment.
It monitors equipment vibration in real time, including parameters such as vibration velocity, acceleration and displacement. Vibration monitoring enables timely detection of equipment health and prediction of possible failures.
The module is equipped with a fault diagnosis function. By collecting and analysing vibration data, it can identify and diagnose mechanical faults, such as bearing wear, imbalance, looseness and other problems. This helps to detect potential faults early and take appropriate maintenance measures to improve equipment reliability and operational efficiency.
The 60M100 Monitoring System, as a part of Condition Based Maintenance, lets wind turbine owners know, months in advance, that a turbine defect exists before failure of turbine assets occur.
Bently Nevada’s Condition Monitoring Solution can save turbine owners hundreds of thousands to millions of dollars per year in lost revenue, depending on the size of the wind farm.
Turbine owners can expect to see cost savings from several sources including reduced crane costs, as well as early detection and damage minimization.
Moreover, turbine owners will experience a reduction in unnecessary turbine outage and production loss.
The 60M100 Monitor is a capable and flexible system that can be used as an independent standalone condition monitoring system, a networked distributed collection of inter-operating systems, or as an integrated part of a machine OEM's control & instrumentation package.
The 60M100 monitor includes features and advantages not provided in other systems.
The monitor systems have all functionality required for condition monitoring of Wind Turbine machine trains including signal conditioning, alarming, configuration, speed inputs, and control system communication. The system components are:
• 60M100 monitor
• Adapt.wind software
• Transducers and cables
Sophisticated signal processing algorithms extract dozens of measurements and health indices from each accelerometer point and can be custom tuned to specific bearing and gear box characteristics.
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