Clover PMM
A solution for monitoring the operation and predicting of equipment condition
It is created for the analysis of equipment operation and failure prediction with indication of a specific node
Solving tasks
Prevent stops in the operation of the units in advance and proceed to repair on condition
Prevent stops in the operation of the units in advance and proceed to repair on condition
The system predicts the operation of the equipment using mathematical models and determines the date and time of the stop
Evaluate the technical condition of the equipment in real time
Evaluate the technical condition of the equipment in real time
The system displays abnormal operating modes and displays the operating parameters of the equipment
Find out the cause of equipment failure
Find out the cause of equipment failure
The system classifies the cause of the breakdown and displays it on the monitor screen. For example, the cause may be a violation of the operating mode
Get alerts about impending deviations and failures
Get alerts about impending deviations and failures
The system automatically reports an abnormal condition of the equipment and indicates the node parameters that will lead to abnormal operation of the equipment
Digitize the knowledge of engineers and experts of the enterprise
Digitize the knowledge of engineers and experts of the enterprise
With the help of machine learning algorithms, the system is constantly trained by engineers and builds a more accurate prediction with each new analysis
Effects of implementation
Reduction of equipment downtime
Reduced equipment repair costs
Decrease in the number of unscheduled repairs
Control of violations of operating modes
Increase of efficiency in enterprise management
How Clover PMM works
How does it workClover PMM
How does it workClover PMM
Work of Clover PMM

Stages of work on the project
Pre-project examination
Pre-project examination
Define the purpose and objectives of the project together with the customer, prepare a technical assignment
Data collection
Data collection
Data from the sensors of equipment; time and cause of defects and failures; information on maintenance and repairs
Processing and analysis of data quality
Processing and analysis of data quality
We prepare the data for analysis, we connect experts for interpretation
Model building and interpretation of results
Model building and interpretation of results
We load data into the expert analytical system, build a mathematical model, reveal hidden dependencies and anomalous indicators
Software configuration and system support
Software configuration and system support
Creating the interface according to the requirements of the customer and integrate into the IT infrastructure of the company

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