Oil online monitoring system is an effective means to improve the reliability of wind power equipment
release time:2021-05-31number of times read:698

Necessity of oil on line monitoring system

        As early as 2013, the national energy administration proposed that all wind power plants that have been connected to the grid must establish the working mechanism of wind power forecasting system, and those that have not submitted the results of wind power forecasting as required shall not be connected to the grid. This has played the role of "shuffling" for the wind power industry, because the grid dispatching agencies will arrange more opportunities to the wind power plants with high prediction accuracy. In addition, the state has specially proposed "Research on on-line monitoring and fault diagnosis technology of wind turbines, and development of on-line comprehensive dynamic testing, analysis, diagnosis and optimization system for large wind turbines". It also shows that the country has a clear plan and requirements in this regard, and points out the necessity of on-line monitoring of wind turbines.
In the face of all kinds of fault problems in the operation of wind turbine, how to effectively reduce the loss caused by the fault and avoid the occurrence of major faults is the first problem to be solved. According to statistics, the faults caused by gearbox, generator and blade are the main sources of wind turbine faults, especially the gearbox, whose fault rate is increasing year by year, is the component with the highest fault rate in the unit. The main factor affecting the gearbox failure is the lubrication problem, so the oil monitoring and fault diagnosis of wind turbine is an effective means to improve the reliability of wind turbine equipment.
In addition to lubrication reasons, other reasons will also cause the change of oil state when they lead to failure. Therefore, strengthening the oil state monitoring and fault diagnosis analysis of gearbox, hydraulic system and bearing is an effective means to improve the operation reliability of wind turbine.

Introduction of simsey system


Simsey ® Weissens ® Ws3000 system is an uninterrupted online system for oil condition monitoring. In this way, the early damage of wind turbine can be monitored reliably, and the key lubrication conditions of bearings and other transmission components in the gearbox of wind turbine can be identified as early as possible.
Simsey ® Weissens ® Ws3000 system is very suitable for early detection of damage of wind turbine equipment. It can closely and continuously monitor the changes of lubricating oil and gear system from the beginning before any damage occurs. In addition, the preventive maintenance measures of wind turbine are pointed out. The sensor system improves operation reliability, prolongs service life and reduces downtime. Adjust the oil change cycle according to the actual needs to achieve a substantial increase in economic and ecological efficiency.
Continue to redefine differences. The industry's first initiative, active condition monitoring trend analysis system, to remind and suggest before failure / failure occurs! Through the establishment of database and advanced algorithm model, we can not only monitor the status of wind turbine equipment and oil products in real time, but also modify the model continuously through the self-learning function of neural network element, so as to accurately analyze and predict the future development trend of wind turbine equipment and oil products!
We will not meet the current situation, and we are still carrying out continuous and in-depth research and development on our products. Later, we will give our products higher value through upgrading.


Function of simsey online monitoring system

It is mainly reflected in the following aspects:
●  Real time monitoring of important oil parameters (conductivity, dielectric constant, acid value, moisture, water activity, all kinds of pollution, early wear)
●  Track and detect the quality of oil products, judge the degree of their own decay and external pollution, and accurately determine the oil change period.
●  High monitoring accuracy and sensitivity, reduce the occurrence of intermittent fault and no fault detection
●  It can accurately judge the early wear of gears and bearings, implement equipment condition monitoring, implement equipment maintenance on condition, reduce maintenance costs, and use equipment reasonably
● Monitor the relationship between equipment and oil status and load change, assist in equipment fault diagnosis and cause analysis, forecast and prevent equipment fault
●  The patented online temperature simulation compensation technology can eliminate the influence of temperature change on various parameters and judgments
   According to the real state of lubricating oil and additives, the user is recommended to take measures such as filtration, oil supplement and oil change
   According to the set value, the equipment status can be monitored, early warning and alarm all day
   Through the accumulated big data and algorithms, we can develop personalized maintenance schemes for different equipment, and reduce the cost of the whole life cycle by reducing the inspection cost, failure time and inventory



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